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Who was the first Grand Prix driver to used a safety belt in 1967 | Jackie Stuart | open_qa | 10,633 |
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What is Utah known for? | Utah is known for its beautiful natural landscape throughout the state. It is home to five world renowned National Parks. Utah is also called Silicone Slopes due to the large number of tech and software companies that have made Utah their homes. Utah is a very safe place to live and raise a family. It is home to the Utah Jazz, Real Salt Lake, Utah Grizzlies, and six well-known Universities, like BYU and University of Utah to name a few. | general_qa | 10,636 |
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Why was the iPhone such a successful product? | Apple rejected the "design by committee" approach that had yielded the Motorola ROKR E1, a largely unsuccessful "iTunes phone" made in collaboration with Motorola. Among other deficiencies, the ROKR E1's firmware limited storage to only 100 iTunes songs to avoid competing with Apple's iPod nano. Cingular gave Apple the liberty to develop the iPhone's hardware and software in-house, a rare practice at the time, and paid Apple a fraction of its monthly service revenue (until the iPhone 3G), in exchange for four years of exclusive U.S. sales, until 2011.
The iPhone was the first mobile phone with multi-touch technology. Since the iPhone's launch, it gained larger screen sizes, video-recording, waterproofing, and many accessibility features. Up to iPhone 8 and 8 Plus, iPhones had a single button on the front panel with the Touch ID fingerprint sensor. Since iPhone X, iPhone models have switched to a nearly bezel-less front screen design with Face ID facial recognition, and app switching activated by gestures. Touch ID is still used for the budget iPhone SE series. | The iPhone did away with physical keyboards and instead introduced a multi-touch screen which didn't require a stylus. The iPhone software, iOS, was developed to take advantage of all hardware and design capabilities of the phone, including the touchscreen. Each application presented its customized input options on the touch screen. In addition, the iOS was flexible and expandable through the App Store, giving the iPhone user a wide choice of third-party apps which were not known before. iPhone hardware quality was also a nice surprise to the users. | closed_qa | 10,640 |
Given a reference text about Hanlon's razor, when did the adage become well-known? | Hanlon's razor is an adage or rule of thumb that states, "Never attribute to malice that which is adequately explained by stupidity." Known in several other forms, it is a philosophical razor that suggests a way of eliminating unlikely explanations for human behavior. It is probably named after Robert J. Hanlon, who submitted the statement to Murphy's Law Book Two (1980). Similar statements have been recorded since at least the 18th century.
Origin
A similar quotation appears in Robert A. Heinlein's novella Logic of Empire (1941). The character "Doc" in Heinlein's story described the "devil theory" fallacy, explaining, "You have attributed conditions to villainy that simply result from stupidity."
The quotation as such was a submission credited in print to Robert J. Hanlon of Scranton, Pennsylvania, for a compilation of various jokes related to Murphy's law that were published in Arthur Bloch's Murphy's Law Book Two: More Reasons Why Things Go Wrong! (1980). It is unknown whether Hanlon knew of Heinlein's story or whether he independently constructed the phrase.[citation needed]
Hanlon's razor became well-known after its inclusion in the Jargon File, a glossary of computer programmer slang, since 1990. Later that same year, the Jargon File editors noted lack of knowledge about the term's derivation and the existence of a similar epigram by William James, though this was possibly intended as a reference to William James Laidlay. In 1996, the Jargon File entry on Hanlon's Razor noted the existence of the phrase in Heinlein's novella, with speculation that Hanlon's Razor might be a corruption of "Heinlein's Razor". The link to Murphy's law was described in a pair of 2001 blog entries by Quentin Stafford-Fraser, citing emails from Joseph E. Bigler. Subsequently, in 2002, the Jargon File entry noted the same. Current Jargon File refers to it as a "Murphyism".
The name was inspired by Occam's razor. | Hanlon's razor became well-known after its inclusion in the Jargon File, a glossary of computer programmer slang, since 1990. | closed_qa | 10,642 |
In the main four professional sports leagues, what professional sports teams don't end in "S?" | In total there are eleven teams across the major four professional sports leagues that do not end in "S." There are four NBA teams that do not end in "S." Those teams are the Miami Heat, Oklahoma City Thunder, Orlando Magic and Utah Jazz. There are four NHL teams. Those are the Colorado Avalanche, Minnesota Wild, Seattle Kraken and Tampa Bay Lightning. Two MLB teams do not end in "S" and those are the Boston Red Sox and Chicago White Sox. The Washington Football Team is the only NFL team that does not end in "S." | general_qa | 10,649 |
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The final of Asia cup was held in UAE, was won by Sri Lanka from which country | Pakistan by 23 runs | open_qa | 10,650 |
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Who is Christopher Hope | Christopher Hope, FRSL (born 26 February 1944) is a South African novelist and poet who is known for his controversial works dealing with racism and politics in South Africa. His son is violinist Daniel Hope. | open_qa | 10,654 |
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Why is salt important in cooking? | Salt is a key seasoning in cooking. When added to food or even drinks, salt enhances the flavors of other ingredients and helps amplify subtle flavors that may otherwise be lost. While on its own salt may be overwhelming or one-note, a moderate amount of salt added to a dish will help bring out the flavors of other ingredients in a dish. Cooks have a choice of a variety of types of salt. Common table salt is typically fine crystals, while the popular kosher salt tends to have larger, flatter flake like shapes which make it easier to pinch, pick up, and sprinkle onto food. Regardless of the type of salt, common table salt is chemically sodium chloride, or NaCl. | general_qa | 10,655 |
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How are healthcare organizations thinking about their strategy to improve healthcare delivery? | One popular model that many healthcare organizations use to set goals and measure their progress is known as the "Quadruple Aim." This framework looks to achieve four simultaneous and interconnected goals: Improving the patient experience, Improving healthcare outcomes, reducing cost of care, and improving the working experience of healthcare providers. | general_qa | 10,656 |
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What is Cricket? | Cricket is a bat-and-ball game played between two teams of eleven players on a field at the center of which is a 22-yard (20-metre) pitch with a wicket at each end, each comprising two bails balanced on three stumps. The batting side scores runs by striking the ball bowled at one of the wickets with the bat and then running between the wickets, while the bowling and fielding side tries to prevent this (by preventing the ball from leaving the field, and getting the ball to either wicket) and dismiss each batter (so they are "out"). Means of dismissal include being bowled, when the ball hits the stumps and dislodges the bails, and by the fielding side either catching the ball after it is hit by the bat, but before it hits the ground, or hitting a wicket with the ball before a batter can cross the crease in front of the wicket. When ten batters have been dismissed, the innings ends and the teams swap roles. The game is adjudicated by two umpires, aided by a third umpire and match referee in international matches. They communicate with two off-field scorers who record the match's statistical information. | Cricket is a bat and ball game, invented in England. The earliest reference to cricket is in South East England in the mid-16th century. It spread globally with the expansion of the British Empire, with the first international matches in the second half of the 19th century. The game's governing body is the International Cricket Council (ICC), which has over 100 members, twelve of which are full members who play Test matches. The game's rules, the Laws of Cricket, are maintained by Marylebone Cricket Club (MCC) in London. The sport is followed primarily in South Asia, Australasia, the United Kingdom, Southern Africa and the West Indies. There are 3 main forms/editions of Cricket: Test matches (usually lasting 5 days), ODI (one day international) usually lasting 6-8 hours, and more recent and popular T20 usually lasting 3-4 hours. | closed_qa | 10,658 |
Why are semantic HTML elements important to use? | The main benefit of using semantic HTML elements is that it improves the accessibility of a website when used correctly. For example, text that is styled to look like a heading for a section of content, may not be exposed as a heading to a screen reader or search engine unless that text is wrapped in a heading element — h1, h2, h3, h4, h5, or h6. | general_qa | 10,659 |
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Given these two paragraphs, where did Jimmy Carter go to college? | Carter attended Plains High School from 1937 to 1941, graduating from the eleventh grade, since the school did not have a twelfth grade. By that time, Archery and Plains had been impoverished by the Great Depression, but the family benefited from New Deal farming subsidies, and Carter's father took a position as a community leader. Carter himself was a diligent student with a fondness for reading. A popular anecdote holds that he was passed over for valedictorian after he and his friends skipped school to venture downtown in a hot rod. Carter's truancy was mentioned in a local newspaper, although it is not clear he would have otherwise been valedictorian. As an adolescent, Carter played on the Plains High School basketball team, and also joined a youth organization named the Future Farmers of America, which helped him develop a lifelong interest in woodworking.
Carter had long dreamed of attending the United States Naval Academy. In 1941, he started undergraduate coursework in engineering at Georgia Southwestern College in nearby Americus, Georgia. The following year, he transferred to the Georgia Institute of Technology in Atlanta, and he earned admission to the Naval Academy in 1943. He was a good student but was seen as reserved and quiet, in contrast to the academy's culture of aggressive hazing of freshmen. While at the academy, Carter fell in love with Rosalynn Smith, a friend of his sister Ruth. The two married shortly after his graduation in 1946. He was a sprint football player for the Navy Midshipmen. Carter graduated 60th out of 821 midshipmen in the class of 1947 with a Bachelor of Science degree and was commissioned as an ensign. | Jimmy Carter received his Bachelor of Science degree from the United States Naval Academy in 1947. However, he began his undergraduate studies at Georgia Southwestern College. A year later, he transferred to the Georgia Institute of Technology before ultimately earning his admission into the Naval Academy where he would complete his studies. | closed_qa | 10,662 |
What is a hockey hat trick ? | when a player scores three goals in a game, usually earning him a cascade of hats thrown onto the ice by fans (especially if the player is on the home team). A natural hat trick is when a player scores three consecutive goals in a game. | open_qa | 10,667 |
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What was the deadliest battle in history? | The Battle of Stalingrad was a brutal military campaign between Russian forces and those of Nazi Germany and the Axis powers during World War II. The battle is infamous as one of the largest, longest and bloodiest engagements in modern warfare: From August 1942 through February 1943, more than two million troops fought in close quarters – and nearly two million people were killed or injured in the fighting, including tens of thousands of Russian civilians. The giant campaign was really a showdown between Hitler and Stalin over the city that bore the name of the Soviet dictator, which ultimately turned the tide of World War II in favor of the Allied forces, and helped bring about a change of fortunes that would eventually destroy Nazi Germany and doom Hitler. | open_qa | 10,669 |
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When was Belgium founded? | 4th of October 1830 | open_qa | 10,670 |
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What University has most Heisman Trophy winners? | USC, The University of Southern California, has the most Heisman Trophy Winners: 1965 Mike Garrett, 1968 O. J. Simpson, 1979 Charles White, 1981 Marcus Allen, 2002 Carson Palmer, 2004 Matt Leinart, 2005, Reggie Bush, 2022 Caleb Williams. The Heisman Trophy is considered the most prestigious collegiate individual athletic award. | open_qa | 10,673 |
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what's the tallest mountain in the world | Mount Everest is Earth's highest mountain above sea level, located in the Mahalangur Himal sub-range of the Himalayas. The China–Nepal border runs across its summit point. Its elevation of 8,848.86 m was most recently established in 2020 by the Chinese and Nepali authorities | Mount Everest | closed_qa | 10,674 |
Given a reference text about Bully, tell me when it premiered and what it was about. | Bully (alternatively titled Bully: The Musical) is a 2017 musical featurette written and directed by Aaron Alon and produced by Thunderclap Productions. Bully is a dramatic musical about Sam Bradley, a young man who kills himself after being repeatedly bullied in school because others suspect he is gay. The story follows Sam in the days leading up to his death and the lives of those around him in the days following his suicide.
Bully premiered in the United States on September 24, 2017, at Alamo Drafthouse – Mason Park in Houston, Texas. The film had its film festival premiere in the 2018 Rainier Independent Film Festival in Ashford, Washington, on May 20, 2018. | Bully premiered on September 24, 2017 and was about a young man who commits suicide after being bullied in school because others thought he was gay. | closed_qa | 10,675 |
Which team won the 2022 Fifa World Cup? | Argentina won the 2022 Fifa World Cup after defeating France, the former champion. Argentina beat France in penalty kicks with 4 scored versus 2 after a 3-3 tie. This 2022 victory was Argentina's third victory, making it the fourth country with most championships after Brazil with 5 and Germany and Italy with 4 each. | general_qa | 10,678 |
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What factors contributed to the decline of AI research in the 1970s? | TThe first AI winter 1974–1980
In the 1970s, AI was subject to critiques and financial setbacks. AI researchers had failed to appreciate the difficulty of the problems they faced. Their tremendous optimism had raised expectations impossibly high, and when the promised results failed to materialize, funding for AI disappeared. At the same time, the field of connectionism (or neural nets) was shut down almost completely for 10 years by Marvin Minsky's devastating criticism of perceptrons. Despite the difficulties with public perception of AI in the late 70s, new ideas were explored in logic programming, commonsense reasoning and many other areas.
The problems
In the early seventies, the capabilities of AI programs were limited. Even the most impressive could only handle trivial versions of the problems they were supposed to solve; all the programs were, in some sense, "toys". AI researchers had begun to run into several fundamental limits that could not be overcome in the 1970s. Although some of these limits would be conquered in later decades, others still stymie the field to this day.
Limited computer power: There was not enough memory or processing speed to accomplish anything truly useful. For example, Ross Quillian's successful work on natural language was demonstrated with a vocabulary of only twenty words, because that was all that would fit in memory. Hans Moravec argued in 1976 that computers were still millions of times too weak to exhibit intelligence. He suggested an analogy: artificial intelligence requires computer power in the same way that aircraft require horsepower. Below a certain threshold, it's impossible, but, as power increases, eventually it could become easy. With regard to computer vision, Moravec estimated that simply matching the edge and motion detection capabilities of human retina in real time would require a general-purpose computer capable of 109 operations/second (1000 MIPS). As of 2011, practical computer vision applications require 10,000 to 1,000,000 MIPS. By comparison, the fastest supercomputer in 1976, Cray-1 (retailing at $5 million to $8 million), was only capable of around 80 to 130 MIPS, and a typical desktop computer at the time achieved less than 1 MIPS.
Intractability and the combinatorial explosion. In 1972 Richard Karp (building on Stephen Cook's 1971 theorem) showed there are many problems that can probably only be solved in exponential time (in the size of the inputs). Finding optimal solutions to these problems requires unimaginable amounts of computer time except when the problems are trivial. This almost certainly meant that many of the "toy" solutions used by AI would probably never scale up into useful systems.
Commonsense knowledge and reasoning. Many important artificial intelligence applications like vision or natural language require simply enormous amounts of information about the world: the program needs to have some idea of what it might be looking at or what it is talking about. This requires that the program know most of the same things about the world that a child does. Researchers soon discovered that this was a truly vast amount of information. No one in 1970 could build a database so large and no one knew how a program might learn so much information.
Moravec's paradox: Proving theorems and solving geometry problems is comparatively easy for computers, but a supposedly simple task like recognizing a face or crossing a room without bumping into anything is extremely difficult. This helps explain why research into vision and robotics had made so little progress by the middle 1970s.
The frame and qualification problems. AI researchers (like John McCarthy) who used logic discovered that they could not represent ordinary deductions that involved planning or default reasoning without making changes to the structure of logic itself. They developed new logics (like non-monotonic logics and modal logics) to try to solve the problems.
The end of funding
See also: AI winter
The agencies which funded AI research (such as the British government, DARPA and NRC) became frustrated with the lack of progress and eventually cut off almost all funding for undirected research into AI. The pattern began as early as 1966 when the ALPAC report appeared criticizing machine translation efforts. After spending 20 million dollars, the NRC ended all support. In 1973, the Lighthill report on the state of AI research in England criticized the utter failure of AI to achieve its "grandiose objectives" and led to the dismantling of AI research in that country. (The report specifically mentioned the combinatorial explosion problem as a reason for AI's failings.) DARPA was deeply disappointed with researchers working on the Speech Understanding Research program at CMU and canceled an annual grant of three million dollars. By 1974, funding for AI projects was hard to find.
Hans Moravec blamed the crisis on the unrealistic predictions of his colleagues. "Many researchers were caught up in a web of increasing exaggeration." However, there was another issue: since the passage of the Mansfield Amendment in 1969, DARPA had been under increasing pressure to fund "mission-oriented direct research, rather than basic undirected research". Funding for the creative, freewheeling exploration that had gone on in the 60s would not come from DARPA. Instead, the money was directed at specific projects with clear objectives, such as autonomous tanks and battle management systems.
Critiques from across campus
See also: Philosophy of artificial intelligence
Several philosophers had strong objections to the claims being made by AI researchers. One of the earliest was John Lucas, who argued that Gödel's incompleteness theorem showed that a formal system (such as a computer program) could never see the truth of certain statements, while a human being could. Hubert Dreyfus ridiculed the broken promises of the 1960s and critiqued the assumptions of AI, arguing that human reasoning actually involved very little "symbol processing" and a great deal of embodied, instinctive, unconscious "know how". John Searle's Chinese Room argument, presented in 1980, attempted to show that a program could not be said to "understand" the symbols that it uses (a quality called "intentionality"). If the symbols have no meaning for the machine, Searle argued, then the machine can not be described as "thinking".
These critiques were not taken seriously by AI researchers, often because they seemed so far off the point. Problems like intractability and commonsense knowledge seemed much more immediate and serious. It was unclear what difference "know how" or "intentionality" made to an actual computer program. Minsky said of Dreyfus and Searle "they misunderstand, and should be ignored." Dreyfus, who taught at MIT, was given a cold shoulder: he later said that AI researchers "dared not be seen having lunch with me." Joseph Weizenbaum, the author of ELIZA, felt his colleagues' treatment of Dreyfus was unprofessional and childish. Although he was an outspoken critic of Dreyfus' positions, he "deliberately made it plain that theirs was not the way to treat a human being."
Weizenbaum began to have serious ethical doubts about AI when Kenneth Colby wrote a "computer program which can conduct psychotherapeutic dialogue" based on ELIZA. Weizenbaum was disturbed that Colby saw a mindless program as a serious therapeutic tool. A feud began, and the situation was not helped when Colby did not credit Weizenbaum for his contribution to the program. In 1976, Weizenbaum published Computer Power and Human Reason which argued that the misuse of artificial intelligence has the potential to devalue human life.
Perceptrons and the attack on connectionism
A perceptron was a form of neural network introduced in 1958 by Frank Rosenblatt, who had been a schoolmate of Marvin Minsky at the Bronx High School of Science. Like most AI researchers, he was optimistic about their power, predicting that "perceptron may eventually be able to learn, make decisions, and translate languages." An active research program into the paradigm was carried out throughout the 1960s but came to a sudden halt with the publication of Minsky and Papert's 1969 book Perceptrons. It suggested that there were severe limitations to what perceptrons could do and that Frank Rosenblatt's predictions had been grossly exaggerated. The effect of the book was devastating: virtually no research at all was done in connectionism for 10 years. Eventually, a new generation of researchers would revive the field and thereafter it would become a vital and useful part of artificial intelligence. Rosenblatt would not live to see this, as he died in a boating accident shortly after the book was published.
Logic and symbolic reasoning: the "neats"
Logic was introduced into AI research as early as 1959, by John McCarthy in his Advice Taker proposal. In 1963, J. Alan Robinson had discovered a simple method to implement deduction on computers, the resolution and unification algorithm. However, straightforward implementations, like those attempted by McCarthy and his students in the late 1960s, were especially intractable: the programs required astronomical numbers of steps to prove simple theorems. A more fruitful approach to logic was developed in the 1970s by Robert Kowalski at the University of Edinburgh, and soon this led to the collaboration with French researchers Alain Colmerauer and Philippe Roussel who created the successful logic programming language Prolog. Prolog uses a subset of logic (Horn clauses, closely related to "rules" and "production rules") that permit tractable computation. Rules would continue to be influential, providing a foundation for Edward Feigenbaum's expert systems and the continuing work by Allen Newell and Herbert A. Simon that would lead to Soar and their unified theories of cognition.
Critics of the logical approach noted, as Dreyfus had, that human beings rarely used logic when they solved problems. Experiments by psychologists like Peter Wason, Eleanor Rosch, Amos Tversky, Daniel Kahneman and others provided proof. McCarthy responded that what people do is irrelevant. He argued that what is really needed are machines that can solve problems—not machines that think as people do.
Frames and scripts: the "scuffles"
Among the critics of McCarthy's approach were his colleagues across the country at MIT. Marvin Minsky, Seymour Papert and Roger Schank were trying to solve problems like "story understanding" and "object recognition" that required a machine to think like a person. In order to use ordinary concepts like "chair" or "restaurant" they had to make all the same illogical assumptions that people normally made. Unfortunately, imprecise concepts like these are hard to represent in logic. Gerald Sussman observed that "using precise language to describe essentially imprecise concepts doesn't make them any more precise." Schank described their "anti-logic" approaches as "scruffy", as opposed to the "neat" paradigms used by McCarthy, Kowalski, Feigenbaum, Newell and Simon.
In 1975, in a seminal paper, Minsky noted that many of his fellow "scruffy" researchers were using the same kind of tool: a framework that captures all our common sense assumptions about something. For example, if we use the concept of a bird, there is a constellation of facts that immediately come to mind: we might assume that it flies, eats worms and so on. We know these facts are not always true and that deductions using these facts will not be "logical", but these structured sets of assumptions are part of the context of everything we say and think. He called these structures "frames". Schank used a version of frames he called "scripts" to successfully answer questions about short stories in English. | Unrealistic expectations, a lack of funding, the challenge of producing significant results, and the discovery of a number of fundamental limitations that AI scientists could not overcome in the 1970s all contributed to the decline of AI research in that decade | closed_qa | 10,679 |
Given this paragraph about Museo Municipal Taurino Francisco Montes, where is it located? | Museo Municipal Taurino Francisco Montes is located in Chiclana de la Frontera, in the province of Cádiz, Andalusia, southwestern Spain. Situated on San Agustín Street, the bullfighting museum is dedicated to the matador Francisco Montes Reina (1805–1851), nicknamed "Paquiro", who was born in this town. He is considered the most important 19th century bullfighter, because of his skill at the sport, on foot or on horseback. The bullfighting displays include pieces of great historical and artistic value. It was inaugurated in 2003 and founded by Pedro Leal Aragon who for seven years collected objects, souvenirs and bullfighting implements. One of its first events was a group show of the artists Antonio Vela, Carlos Quevedo, and Paloma Garcia. After a renovation, it re-opened in June 2005 with miniature models of the bullring in Ronda, a head bust of Paquiro, and an original painting by Antonio Cavanna.The expansion also housed Spain's most important bullfighting collection, Collection Sagnier, which was acquired by the city to improve the historical and artistic quality of the municipal bullfighting museum. There are four rooms: bullfighting origins, Paquiro and his time, contemporary bullfighting, and the bull and the arts. The museum's garden is used for book presentations, press conferences, weddings and small concerts. It is closed on Sundays. | Museo Municipal Taurino Francisco Montes is located in Chiclana de la Frontera, in the province of Cádiz, Andalusia, southwestern Spain. | closed_qa | 10,680 |
Given a reference text about the IBJJF, provide two tournaments organized by IBJJ and the ruleset used by these tournaments. | The International Brazilian Jiu-Jitsu Federation (IBJJF) is a for-profit company that hosts several of the biggest Brazilian jiu-jitsu (BJJ) tournaments in the world, including the World Jiu-Jitsu Championship, World No-Gi Championship, Pan Jiu-Jitsu Championship, and European Open Jiu-Jitsu Championship. The federation was created by Carlos Gracie, Jr., who is the head of one of the largest Brazilian jiu-jitsu associations, Gracie Barra. The IBJJF uses the ruleset of the Confederação Brasileira de Jiu-Jitsu (CBJJ). On October 11, 2020, the IBJJF announced that they will begin to allow both heel hooks and knee-reaping for all brown and black belts competing in no-gi tournaments, starting on an undisclosed date in 2021. | World No-Gi Championship and Pan Jiu-Jitsu Championship are two tournaments organized by the IBJJF. They follow the ruleset of the CBJJ. | closed_qa | 10,682 |
In the series A Song of Ice and Fire, who is the founder of House Gardener? | Garth the Gardener | open_qa | 10,683 |
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What are the names of the different scores you can shoot for each hole when golfing? | The following are the names for different scores you can shoot on a golf hole:
- Hole-in-One: The hole was completed with only one shot.
- Albatross: The hole was completed in 3 shots less than par.
- Eagle: The hole was completed in 2 shots less than par.
- Birdie: The hole was completed in 1 shot less than par.
- Par: The hole was completed in the same number of shots as par.
- Bogey: The hole was completed in 1 shot more than par.
- Double Bogey: The hole was completed in 2 shots more than par.
- Triple Bogey: The hole was completed in 3 shots more than par.
- Quadruple Bogey: The hole was completed in 4 shots more than par.
- Quintuple Bogey: The hole was completed in 5 shots more than par. | open_qa | 10,684 |
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How many prototypes were made? | The first prototype was entirely mechanical. Three prototypes were made, and they were improved over one year. In the meantime, sure of having found a solution to the problem of taking 360° photos, Leme applied for a patent registration, a process that went on for some years. | Three prototypes were made and improved over one year. | closed_qa | 10,685 |
As per WHO Marburg Virus Disease(MVD) is a severe often fatal haemorrhagic fever it was earlier known as | Marburg Haemorrhagic Fever | open_qa | 10,686 |
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What are the benefits of a high protein diet | High protein diets can have a lot of benefits. For one, if you are interested in muscle growth, protein helps with that, and a high protein diet can lead to increased muscle growth. Additionally, protein rich meals can help people stay full longer which can help decrease snacking leading to weight loss | open_qa | 10,688 |
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When did Lebron James become the NBA's all time leading scorer? | Lebron James passed Kareem Abdul-Jabbar as the NBA's all time leading scorer on February 7, 2023. | open_qa | 10,692 |
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Why is India a major outsourcing partner for Information technology services? | India ranks as the number one country in the world in providing technical support and Information technology related services. India has more than 50% of the global IT outsourcing share (https://idapgroup.com/blog/it-outsourcing-to-india/#:~:text=Indian%20IT%20in%20Numbers%20%26%20Facts&text=Holds%2055%25%20of%20global%20IT,countries%20all%20over%20the%20globe.)
India has a large educated young workforce that forms the core engine for driving the growth of IT services from India. This workforce is trained in skills in demand, namely the Information technology related topics, from the many universities spread across the country.
English is a language commonly used in India. There is a huge workforce that is well trained and proficient in English. This is a huge advantage when it comes to providing services to global customers who are looking to use a team that is able to communicate in English.
India is a developing country. The cost of living and the salary scale for employees is low compared the salary for similar employees in developed countries such as the United States of America, Great Britain, Australia, France, etc. The difference in salary levels provides a natural cost arbitrage that provides a compelling reason when a company is exploring to outsource.
The combination of the above factors namely availability of a trained workforce that is able to communicate in English and the arbitrage in salary costs makes India an attractive outsourcing partner for many businesses in the developed countries. | general_qa | 10,694 |
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On which day did Theodore Roosevelt lose both his first wife and his mother? | February 14, 1884. | open_qa | 10,696 |
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Who directed the premiere episode of season four of Game of Thrones? | D.B. Weiss, who also co-authored the season four premiere episode, directed "Two Swords." | open_qa | 10,700 |
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Why are mama's boys the worst partners? | Mama's boys grow up to be horrible partners because they never really grow up to be fully functioning adults. They were raised thinking they are the center of the universe. Their moms made them believe they could do no wrong. They never learned how to be considerate of other people's feelings. They learned that no matter what, mama would always be around to clean up their mess — literally and figuratively. Their moms did their laundry well into their twenties. They don't know how to do basic things around the house like boil an egg, cook rice or pick up after themselves. A telltale sign of a mama's boy: he comes home with a new purchase, opens it up, leaves all the plastic packaging lying around on the kitchen table. It doesn't bother him. He literally does not see the trash he leaves around. Mama's boys don't know how to pay their bills, manage their checking accounts, do grocery shopping and many, many more things. But these behaviors are symbolic of a much deeper deficiency: their emotional intelligence is practically nonexistent. Typically, it takes decades to train a mama's boy to be a fully functioning adult who can be an acceptable partner. It's possible only if he's willing to admit his faults and try every day to be a better human being. | general_qa | 10,701 |
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What year did Wyoming become a state? | 1890 | open_qa | 10,703 |
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Who and when was the compass invented? | Over 2000 years ago by the Chinese, by magnetizing needles made from iron, and placing them in water | open_qa | 10,706 |
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Why is baseball considered such a quintessential US sport? | There are many factors that make many Americans think of baseball as "America's pastime." Possibly the biggest factor is that baseball has been played for so long that it's history ties together generations of Americans through their common rooting interest in their favorite teams. Another reason: baseball players became celebrities and figures in pop culture long before such a thing was common in other sports. While baseball has lagged in growth in recent times when compared to leagues such as the NFL and the NBA, it is still a vibrant sport with large revenues and extremely passionate fan bases around the country. | general_qa | 10,707 |
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What is mutually assured destruction? | Mutually assured destruction is the belief that two countries will not attack each other if each country has the ability to destroy the other with the same amount of military power. Mutually assured destruction or "MAD" is a principle from the era of the Cold War and is considered part of a US military doctrine. The policy is often applied to the use of nuclear weapons. For example, because both the United States and Russia have nuclear weapons that could annihilate large populations, neither uses them. To do so, would mean the end of both populations, and a large part of humanity. | open_qa | 10,708 |
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here is some information about Ross McLean, how many years was Ross president of the Leavue of help for sick and elderly? | He was a member of the Australian Broadcasting Corporation Board of Directors for five years from 1999. He was chair of the National Childcare Accreditation Council for four years from 1996 to 1999. He was president of the Association for the Blind of WA from 1995 to 1999. He was president of the League of Help for the Sick and Elderly of WA from 1995 to 1997. In December 2001 he resigned as chairman of the Fremantle Football Club in the wake of revelations that the club had exceeded the salary cap for the 2001 season. He was a member of the Board of the Western Australian Cricket Association from 2004 to 2012. | 2 years, between 1995 to 1997. | closed_qa | 10,709 |
What is the difference between it's and its? | "It's" is a contraction for "it is". Whereas "its" is the possessive pronoun for it | open_qa | 10,711 |
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What is the best way to get from one place to another? | The term "best" is relative to your individual preferences and circumstances.
In general, how to get from one place to another depends on several key factors, such as the distance between these two places, available methods of transportations, and the amount of money that you are willing to spend. Additional factors to consider are whether you have a preferred method of transportation and how much time you are willing to spend on this trip. Cheaper transportation options may take a longer time.
The methods of transportation include airplanes, trains, ships or ferries, busses, and cars, but not all locations have all these transportation methods available.
Usually, if the two places are relatively close to each other, a bus or a train may be a good option. If public transportation between these two places is not well established, then a personal car may be a reasonable alternative.
In some circumstances, when the distance between the two place is very short, less than three miles or so, walking may be your best option. This, of course, depends on your ability and willingness to walk that distance.
If the two places are relatively far, usually more than a couple hundred miles, an airplane may be a good option to consider. | general_qa | 10,715 |
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Which city is best in Australia | There are many great cities in Australia. Which is best depends on what you like. Sydney is known for its beauty with some of Australia's most iconic landmarks such as the Sydney Harbour Bridge and Sydney Opera House. Sydney is also the largest city in Australia.
Melbourne is knowns for its fun nightlife, culture, and sport, hosting events like the Australian F1 and the Australian Open tennis grand slam.
Adelaide is known for its food, and wine, and for being a great place to live. And Hobart in Tasmania is surrounded by great food and beautiful surroundings and is increasingly regarded as one of the best places in Australia for families. | general_qa | 10,716 |
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What is efficient market hypothesis? | Efficient market hypothesis postulates that markets converge on a fair price with all available information being generally available to the market. Thus it is not logical that any one person can beat the market, if all information is generally available. | open_qa | 10,718 |
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Which are the states in India with coastlines? | Most of the southern states in India are having coastlines that include Karnataka, Kerala, Tamil Nadu, Andra Pradesh, and Telangana. Towards the east-west Bengal and Orissa have a long coastline and towards the west Maharashtra and Gujrat. | open_qa | 10,724 |
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How to find a boyfriend or girlfriend? | Finding a partner is a life topic. People fall in love in very different ways. Some people will start a relationship with friends after knowing each other for years, while some will love someone who was still a completely stranger yesterday. Some people will completely rely on serendipity to meet someone new, while some use dating apps to find a potential lover with clear purposes. There are no right ways to start a relationship, but a wrong relationship can be harmful to both sides. Therefore, you should take your take and never rush into a new relationship. Some tips for finding a BF or GF:
1. Participate in more events to meet new people. For example, exercise classes, clubs of your hobby, volunteering, and parties can be a good start.
2. Ask your friends to recommend some guy/girl they know. Friends can be a reliable source since they share similar background and experience with you.
3. Be nice, honest and helpful to everyone you meet. This can help you to build good reputation in your friends circle so that people are more likely to be attracted by you.
4. Know a person well before you start developing a romantic relationship with him/her. Some people may be very different as a friend vs. in a relationship. It's better to spend more time dating, knowing his/her life before making a decision. | general_qa | 10,725 |
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Who was General Sir Henry Clinton | General Sir Henry Clinton, KB (16 April 1730 – 23 December 1795) was a British Army officer and politician who sat in the House of Commons between 1772 and 1795. He is best known for his service as a general during the American War of Independence. First arriving in Boston in May 1775, from 1778 to 1782 he was the British Commander-in-Chief in North America. In addition to his military service, due to the influence of his cousin Henry Pelham-Clinton, 2nd Duke of Newcastle, he was a Member of Parliament for many years. Late in life he was named Governor of Gibraltar, but died before assuming the post. | open_qa | 10,727 |
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The first Battle of Panipat was fought in the year | The first Battle of Panipat was fought in the year 1761. | open_qa | 10,731 |
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Who are the tallest people in the world? | The Dutch are the tallest people in the world, with an average height between 175-176cm (depending on your source). The Dutch man drive this number up, with an average of 183 cm, the dutch ladies are only 171 cm on average.
Why they are so tall is unknown. Some think it is a combination of genetics, universal healthcare, and dairy at that delicious Gouda cheese consumption - others think the local delicacies called "bitterballen" might have something to do with it. | open_qa | 10,732 |
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is operations a great career | yes | open_qa | 10,735 |
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What popular wine varietal is produced in Washington? | Washington is well known for its white wine, Riesling, and red wine, Cabernet Sauvignon. | open_qa | 10,738 |
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Where can I go to workout? | There are lots of places to go to workout. You can go for a run in the outdoors. You can go to a gym, such as Planet Fitness, LA Fitness, 24 hour fitness, or Equinox. You can also workout at home, with dumbbells or body weight exercises. | general_qa | 10,739 |
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What are AAC devices used for? | AAC stands for Augmentative and Alternative Communication. AAC devices provide a way of communication for those with speech impairments. They can be used by people of all ages. There are various kind of AAC devices such as symbol cards or high tech mobile apps. | open_qa | 10,743 |
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What kind of species is the Epophthalmia | Epophthalmia a genus of dragonflies in the family Macromiidae. | open_qa | 10,745 |
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What is nihilism and why do some people believe it? List some ways that philosophers have proposed to fight against nihilism. Explain to me in a casual tone | Nihilism is a belief that life is ultimately meaningless. Sounds pretty depressing right? Well, there are a number of reasons why one might feel this way. Do you ever feel like you are just going through the motions each day? You wake up, go to work, get off work, sleep, and the cycle continues. You chased after a goal, such as graduating college or getting that next promotion, thinking it would solve all your problems, only to be disappointed after finally getting it. Then you look around the universe that you lives in and find how insignificant your individuality is in the grand schemes of things, you can't help but think to yourself: man, is there any point to life? Does what I do actually matter at all, especially if I'm going to die anyways?
If you ever feel this way, know that you are not alone. Many, many philosophers throughout human history have pondered upon this very idea. I'll present a select few philosophers and their proposals to fight against nihilism.
One obvious solution, per Danish philosophers Kierkegaard, is religion. He believes that faith should be our purpose in life, following Him and doing good in this life will reap rewards in the afterlife.
Now, German philosopher Nietzsche does not agree with that at all; in fact his most famous quote was "God is dead and we killed him". He's talking about how with new advances in science comes the death of religion -- each man must now create his own values and become an ubermensch. The idea of ubermensch, however, kind of throws morality out of window — who is to say one’s value is wrong?
Enter Albert Camus and his idea of absurdism. He compares human life to Sisyphus — rolling a giant rock uphill, only for the rock to fall back down after reaching the top — an absurd and meaningless struggle. He suggests that we accept the absurdity of this world and human existence, and instead embrace the present, because “The struggle itself towards the heights is enough to fill a man's heart. One must imagine Sisyphus happy”.
And there you have it, what nihilism is all about, why it happens and a few ways to fight against it. Note that this is a very extensive topic and what I covered here is only the tip of the iceberg, I’d suggest reading up more if you're interested. Hope it helped! | open_qa | 10,747 |
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When was IGFBP3 first characterized? | Insulin-like growth factor-binding protein 3, also known as IGFBP-3, is a protein that in humans is encoded by the IGFBP3 gene. IGFBP-3 is one of six IGF binding proteins (IGFBP-1 to IGFBP-6) that have highly conserved structures and bind the insulin-like growth factors IGF-1 and IGF-2 with high affinity. IGFBP-7, sometimes included in this family, shares neither the conserved structural features nor the high IGF affinity. Instead, IGFBP-7 binds IGF1R, which blocks IGF-1 and IGF-2 binding, resulting in apoptosis.
Function
IGFBP-3 was first isolated, characterized, and quantitated in human plasma, in 1986. It has well-documented functions in the circulation, in the extracellular environment, and inside cells. It is the main IGF transport protein in the bloodstream, where it carries the growth factors predominantly in stable complexes that contain the binding protein, either IGF-1 or IGF-2, and a third protein called the acid-labile subunit or ALS. | The Insulin-like growth factor-binding protein 3 or IGFBP-3 was first isolated, characterized, and quantitated in human plasma, in 1986. | closed_qa | 10,756 |
Where were the 13th South Asian Games held? | They were held in 3 cities of Nepal-Kathmandu, Pokhara & Janakpur | open_qa | 10,759 |
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What is the fastest air-breathing manned aircraft? | As of 2023 the SR-71 holds the world record it set in 1976 as the fastest air-breathing manned aircraft. | As of 2023 the SR-71 is the fastest air-breathing manned aircraft. It can reach a maximum speed of Mach 3.3 | closed_qa | 10,760 |
Why do people travel to different places. | People may travel to just explore the world, see touristic highlights and experience different cultures. For example there are many tourists visiting my home town Cologne to visit the famous cathedral, ancient roman, and medieval remains and the famous romanic churches. Tasting the local beer in the old town is also a famous attraction. | general_qa | 10,761 |
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Is the USS Rachel Seaman made of metal? | USS Rachel Seaman was a wooden schooner purchased by the Union Navy during the American Civil War. | No, it is made of wood. | closed_qa | 10,762 |
What is the best stock to buy right now? | It is very difficult to choose a specific stock to buy at the moment. "Picking" stocks that can outperform the market requires careful analysis of company's financials, macroeconomic environment and industry trends. There are people dedicated full time to find the best stocks, but for those that are not interested in doing the necessary research, it is best to buy ETFs or indexes that invest in multiple companies therefore minimizing the overall risk of the investment. | general_qa | 10,763 |
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Given a reference text about the Tampa Bay Buccaneers, how many Super Bowls have they won. | The Tampa Bay Buccaneers are a professional American football team based in Tampa, Florida. The Buccaneers compete in the National Football League (NFL) as a member club of the league's National Football Conference (NFC) South division. The club joined the NFL in 1976 as an expansion team, along with the Seattle Seahawks, and played its first season in the American Football Conference (AFC) West division. Prior to the 1977 season, Tampa Bay switched conferences and divisions with Seattle, becoming a member of the NFC Central division. As a result of the league's realignment prior to the 2002 season, the Buccaneers joined three former NFC West teams to form the NFC South. The club is owned by the Glazer family and plays its home games at Raymond James Stadium in Tampa.
The Buccaneers have won two Super Bowl championships and, along with the Baltimore Ravens, are the only two NFL franchises who are undefeated in multiple Super Bowl appearances. They were regarded as a perennial losing franchise for most of their first two decades due to suffering 26 consecutive losses in their first two seasons (including a winless inaugural season) and 14 consecutive losing seasons from 1983 to 1996. Despite these early struggles, Tampa Bay is the first post-merger expansion team to clinch a division title, win a playoff game, and host a conference championship; feats they accomplished by their fourth season in 1979. The team's image improved by the time of their first championship in 2002, also the first for a franchise built after the merger, but they would not win another playoff game until their second Super Bowl championship season in 2020. Concurrent to the lack of success outside of their Super Bowl wins, the Buccaneers hold the NFL's lowest winning percentage at .404. | The Buccaneers have won two Super Bowl championships. | closed_qa | 10,765 |
What is microeconomics? | Microeconimics is concerned with decision-making by individual economic agents such as firms and consumers. | open_qa | 10,768 |
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Should high school students be allowed to drink coffee? | Coffee contains caffeine that helps boost energy levels in human bodies and there is no clear evidence showing that drinking moderate amounts of coffee would harm human productivity or health. For high school students to not doze off at classes, it could be a good idea to permit a limited amount of coffee intake. | general_qa | 10,770 |
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What is a mitochondrion? | A mitochondrion is an organelle found in the cells of most eukaryotes, such as animals, plants and fungi. Mitochondria have a double membrane structure and use aerobic respiration to generate adenosine triphosphate (ATP), which is used throughout the cell as a source of chemical energy. They were discovered by Albert von Kölliker in 1857 in the voluntary muscles of insects. The term mitochondrion was coined by Carl Benda in 1898. The mitochondrion is popularly nicknamed the "powerhouse of the cell", a phrase coined by Philip Siekevitz in a 1957 article of the same name.
Some cells in some multicellular organisms lack mitochondria (for example, mature mammalian red blood cells). A large number of unicellular organisms, such as microsporidia, parabasalids and diplomonads, have reduced or transformed their mitochondria into other structures. One eukaryote, Monocercomonoides, is known to have completely lost its mitochondria, and one multicellular organism, Henneguya salminicola, is known to have retained mitochondrion-related organelles in association with a complete loss of their mitochondrial genome.
Mitochondria are commonly between 0.75 and 3 μm2 in cross section, but vary considerably in size and structure. Unless specifically stained, they are not visible. In addition to supplying cellular energy, mitochondria are involved in other tasks, such as signaling, cellular differentiation, and cell death, as well as maintaining control of the cell cycle and cell growth. Mitochondrial biogenesis is in turn temporally coordinated with these cellular processes. Mitochondria have been implicated in several human disorders and conditions, such as mitochondrial diseases, cardiac dysfunction, heart failure and autism.
The number of mitochondria in a cell can vary widely by organism, tissue, and cell type. A mature red blood cell has no mitochondria, whereas a liver cell can have more than 2000. The mitochondrion is composed of compartments that carry out specialized functions. These compartments or regions include the outer membrane, intermembrane space, inner membrane, cristae, and matrix.
Although most of a eukaryotic cell's DNA is contained in the cell nucleus, the mitochondrion has its own genome ("mitogenome") that is substantially similar to bacterial genomes. This finding has led to general acceptance of the endosymbiotic hypothesis - that free-living prokaryotic ancestors of modern mitochondria permanently fused with eukaryotic cells in the distant past, evolving such that modern animals, plants, fungi, and other eukaryotes are able to respire to generate cellular energy. | open_qa | 10,771 |
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What are five cities in the state of North Carolina? | Five cities in North Carolina are Charlotte, Raleigh, Boone, Durham, and Asheville. | open_qa | 10,774 |
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Based on the reference text, which album helped Taylor Swift shift from a country star to more of a pop star? | Taylor Alison Swift (born December 13, 1989) is an American singer-songwriter. Her genre-spanning discography, songwriting and artistic reinventions have received critical praise and wide media coverage. Born in West Reading, Pennsylvania, Swift moved to Nashville at age 14 to become a country artist. She signed a songwriting deal with Sony/ATV Music Publishing in 2004 and a recording contract with Big Machine Records in 2005. Her 2006 self-titled debut album made her the first female country artist (singer) to write a U.S. platinum-certified album.
Swift's next albums, Fearless (2008) and Speak Now (2010), explored country pop. The former's "Love Story" and "You Belong with Me" were the first country songs to top the U.S. pop and all-genre airplay charts, respectively. She experimented with rock and electronic styles on Red (2012), which featured her first Billboard Hot 100 number-one song, "We Are Never Ever Getting Back Together", and eschewed her country image in her synth-pop album, 1989 (2014), supported by chart-topping songs "Shake It Off", "Blank Space", and "Bad Blood". Media scrutiny inspired the urban-flavored Reputation (2017) and its number-one single "Look What You Made Me Do". | Taylor Swift's 1989 album was her first pop album, helping change her image from a country star. | closed_qa | 10,776 |
Which artist's entire 1985 Live Aid set consisted of just a single cover song? | Elvis Costello. | open_qa | 10,777 |
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What’s your favorite color? | That is entirely up to the person. Some people like blue some people like red some people like green a very popular color is blue. | general_qa | 10,778 |
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What are important elements to consider when putting together a team to execute your operating model for AI? | When building the right team to execute on your operating model for AI it is key to take into account the following elements:
1) How mature is my data foundation: Whether your data is still in silos, stuck in proprietary formats or difficult to access in a unified way will have big implications on the amount of data engineering work and data platform expertise that is required.
2) Infrastructure and platform administration: Whether you need to maintain or leverage as a service offerings can have a huge impact on your overall team composition. Moreover, if your Data and AI platform is made up of multiple services and components the administrative burden of governing and securing data and users and keeping all parts working together can be overwhelming especially at enterprise scale.
3) MLOps: To make the most of AI you need to be able to use it to impact your business. Hiring a full data science team without having the right ML engineering expertise or the right tools to package, test, deploy and monitor is extremely wasteful. There are several steps that go into running effective end-to-end AI applications and your operating model should reflect that in the roles that are involved and in the way model lifecycle management is executed from use case identification, to development to deployment, and perhaps most importantly utilisation.
These three dimensions should inform your focus and the roles that should be part of your development team. Over time, the prevalence of certain roles might shift as your organisation matures along these dimensions and on the platform decisions that you make. | general_qa | 10,781 |
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Why am I so tired? | If you're frequently tired without obvious reasons, such as lack of sleep, you should consult a doctor. If you suffer from regular sleep deprivation, you should also consult a doctor. | general_qa | 10,783 |
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How would you describe the differences between Indian and Western music, especially as it relates to the sense of pitch? | Indian and Western music differ considerably in terms of pitch because Western music adheres to the concept of absolute pitch, while Indian music predominantly focuses on relative pitch. Absolute pitch means that a note is represented as an absolute frequency, so if someone says "A2", that pitch can be mapped back to an exact frequency, and therefore can be reconciled among many different styles of music and instrumentation.
In contrast, much of Indian music (both classical and non-classical) uses the concept of relative pitch, which means that the musician sets a tonic note (their base note) and that pitch is the starting point for all other notes. For example, if one musician were to say that a specific pitch were "sa" (one of the 7 notes in the Indian music scale), another musician would not be able to reproduce that note, since they wouldn't know where the first musician set their tonic. However, this has other advantages, because a tune is defined in terms of relative pitch and can be reproduced easily among different musicians and instruments without the worry of an absolute frequency which cannot be reached by a specific musical range. | general_qa | 10,784 |
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Who were King Aenys I Targaryen's children? | Aegon, Viserys, Jaehaerys, Rhaena, Alysanne, Vaella | open_qa | 10,785 |
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How do airplanes land? | The pilot reduces engine power which lowers thrust. This reduces the lift and the plane descends. | open_qa | 10,786 |
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Given a reference text about Minister for Food, Agriculture and Fisheries of Denmark, when was the position created and was was it named? | Minister for Food, Agriculture and Fisheries of Denmark (Danish: Minister for Fødevarer, Landbrug og Fiskeri) is the politically appointed head of the Danish Ministry of Food, Agriculture and Fisheries, and a member of the Cabinet. Since 19 November 2020, Rasmus Prehn, from the social democratic party Socialdemokratiet, has served as Minister for Food, Agriculture and Fisheries in the Mette Frederiksen I cabinet.
The ministry and the minister post was created in 1896; the ministry was originally named the Ministry of Agriculture. In 1929 the Directorate of Fishing was spun off into the separate Ministry of Shipping and Fishing, but that ministry was reabsorbed in 1935, and the name changed to Ministry of Agriculture and Fishing. In 1947 the Ministry of Fishing was created again, and the name changed to the Ministry of Agriculture, and this time it lasted until 1994 where it was again folded into the Ministry of Agriculture and Fishing. On 30 December 1996 the name of the ministry was changed to the current Ministry of Food, Agriculture and Fisheries, often just called the Ministry of Food. | The Minister for Food, Agriculture and Fisheries of Denmark position was created in 1896 and was originally named the Ministry of Agriculture. | closed_qa | 10,788 |
What is hybrid working? | Hybrid working is a term used for when you split your work time between an office building and from other locations, usually home. It became more widely used during the COVID19 pandemic when talking about where, when and how people work. Other names for Hybrid Working are Activity Based Working or Agile Working. Agile working is not to be confused with Agile project management which has different principles. | general_qa | 10,789 |
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What is a calendar? | A calendar is an arrangement of a depiction of time defined by humans. It is a collection of multiple days that makes up a month with multiple months representing a year of time. Each day of the week on a calendar is assigned a word to represent the day - Monday, Tuesday, Wednesday, Thursday, Friday, Saturday and Sunday. A calendar is used for planning scheduled events in the future, remembering birthdays, and other important dates like tests in school. A calendar can also be broken down into seasonal months that represent the months that match the weather during any particular time of the year. | open_qa | 10,792 |
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Who invented Boltzmann Machines? | Boltzmann machines were invented in 1985 by Geoffrey Hinton and Terrence Sejnowski. | open_qa | 10,793 |
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Given these paragraphs about Large language models, when did LLMs emerge? | A large language model (LLM) is a language model consisting of a neural network with many parameters (typically billions of weights or more), trained on large quantities of unlabelled text using self-supervised learning. LLMs emerged around 2018 and perform well at a wide variety of tasks. This has shifted the focus of natural language processing research away from the previous paradigm of training specialized supervised models for specific tasks.
Properties
Though the term large language model has no formal definition, it often refers to deep learning models having a parameter count on the order of billions or more. LLMs are general purpose models which excel at a wide range of tasks, as opposed to being trained for one specific task (such as sentiment analysis, named entity recognition, or mathematical reasoning). The skill with which they accomplish tasks, and the range of tasks at which they are capable, seems to be a function of the amount of resources (data, parameter-size, computing power) devoted to them, in a way that is not dependent on additional breakthroughs in design.
Though trained on simple tasks along the lines of predicting the next word in a sentence, neural language models with sufficient training and parameter counts are found to capture much of the syntax and semantics of human language. In addition, large language models demonstrate considerable general knowledge about the world, and are able to "memorize" a great quantity of facts during training.
Hallucinations
Main article: Hallucination (artificial intelligence)
In artificial intelligence in general, and in large language models in particular, a "hallucination" is a confident response that does not seem to be justified by the model's training data.
Emergent abilities
On a number of natural language benchmarks involving tasks such as question answering, models perform no better than random chance until they reach a certain scale (in this case, measured by training computation), at which point their performance sharply increases. These are examples of emergent abilities.
Unpredictable abilities that have been observed in large language models but that were not present in simpler models (and that were not explicitly designed into the model) are usually called "emergent abilities". Researchers note that such abilities "cannot be predicted simply by extrapolating the performance of smaller models". These abilities are discovered rather than programmed-in or designed, in some cases only after the LLM has been publicly deployed. Hundreds of emergent abilities have been described. Examples include multi-step arithmetic, taking college-level exams, identifying the intended meaning of a word, chain-of-thought prompting, decoding the International Phonetic Alphabet, unscrambling a word’s letters, identifying offensive content in paragraphs of Hinglish (a combination of Hindi and English), and generating a similar English equivalent of Kiswahili proverbs.
Architecture and training
Large language models have most commonly used the transformer architecture, which, since 2018, has become the standard deep learning technique for sequential data (previously, recurrent architectures such as the LSTM were most common). LLMs are trained in an unsupervised manner on unannotated text. A left-to-right transformer is trained to maximize the probability assigned to the next word in the training data, given the previous context. Alternatively, an LLM may use a bidirectional transformer (as in the example of BERT), which assigns a probability distribution over words given access to both preceding and following context. In addition to the task of predicting the next word or "filling in the blanks", LLMs may be trained on auxiliary tasks which test their understanding of the data distribution such as Next Sentence Prediction (NSP), in which pairs of sentences are presented and the model must predict whether they appear side-by-side in the training corpus.
The earliest LLMs were trained on corpora having on the order of billions of words. The first model in OpenAI's GPT series was trained in 2018 on BookCorpus, consisting of 985 million words. In the same year, BERT was trained on a combination of BookCorpus and English Wikipedia, totalling 3.3 billion words. In the years since then, training corpora for LLMs have increased by orders of magnitude, reaching up to hundreds of billions or trillions of tokens.
LLMs are computationally expensive to train. A 2020 study estimated the cost of training a 1.5 billion parameter model (1-2 orders of magnitude smaller than the state of the art at the time) at $1.6 million.
A 2020 analysis found that neural language models' capability (as measured by training loss) increased smoothly in a power law relationship with number of parameters, quantity of training data, and computation used for training. These relationships were tested over a wide range of values (up to seven orders of magnitude) and no attenuation of the relationship was observed at the highest end of the range (including for network sizes up to trillions of parameters).
Application to downstream tasks
Between 2018 and 2020, the standard method for harnessing an LLM for a specific natural language processing (NLP) task was to fine tune the model with additional task-specific training. It has subsequently been found that more powerful LLMs such as GPT-3 can solve tasks without additional training via "prompting" techniques, in which the problem to be solved is presented to the model as a text prompt, possibly with some textual examples of similar problems and their solutions.
Fine-tuning
Main article: Fine-tuning (machine learning)
Fine-tuning is the practice of modifying an existing pretrained language model by training it (in a supervised fashion) on a specific task (e.g. sentiment analysis, named entity recognition, or part-of-speech tagging). It is a form of transfer learning. It generally involves the introduction of a new set of weights connecting the final layer of the language model to the output of the downstream task. The original weights of the language model may be "frozen", such that only the new layer of weights connecting them to the output are learned during training. Alternatively, the original weights may receive small updates (possibly with earlier layers frozen).
Prompting
See also: Prompt engineering and Few-shot learning (natural language processing)
In the prompting paradigm, popularized by GPT-3, the problem to be solved is formulated via a text prompt, which the model must solve by providing a completion (via inference). In "few-shot prompting", the prompt includes a small number of examples of similar (problem, solution) pairs. For example, a sentiment analysis task of labelling the sentiment of a movie review could be prompted as follows:
Review: This movie stinks.
Sentiment: negative
Review: This movie is fantastic!
Sentiment:
If the model outputs "positive", then it has correctly solved the task. In zero-shot prompting, no solve examples are provided. An example of a zero-shot prompt for the same sentiment analysis task would be "The sentiment associated with the movie review 'This movie is fantastic!' is".
Few-shot performance of LLMs has been shown to achieve competitive results on NLP tasks, sometimes surpassing prior state-of-the-art fine-tuning approaches. Examples of such NLP tasks are translation, question answering, cloze tasks, unscrambling words, and using a novel word in a sentence. The creation and optimisation of such prompts is called prompt engineering.
Instruction tuning
Instruction tuning is a form of fine-tuning designed to facilitate more natural and accurate zero-shot prompting interactions. Given a text input, a pretrained language model will generate a completion which matches the distribution of text on which it was trained. A naive language model given the prompt "Write an essay about the main themes of Hamlet." might provide a completion such as "A late penalty of 10% per day will be applied to submissions received after March 17." In instruction tuning, the language model is trained on many examples of tasks formulated as natural language instructions, along with appropriate responses. Various techniques for instruction tuning have been applied in practice. OpenAI's InstructGPT protocol involves supervised fine-tuning on a dataset of human-generated (prompt, response) pairs, followed by reinforcement learning from human feedback (RLHF), in which a reward function was learned based on a dataset of human preferences. Another technique, "self-instruct", fine-tunes the language model on a training set of examples which are themselves generated by an LLM (bootstrapped from a small initial set of human-generated examples).
https://en.wikipedia.org/wiki/Large_language_model | Around 2018. | closed_qa | 10,794 |
List the television series Kang Se-jung appeared in | Kang Se-jung (born January 15, 1982) is a South Korean actress. She made her entertainment debut as a singer for the K-pop girl group Papaya in 2000; the group released two albums before disbanding in 2001. Kang began acting full-time in 2004, and has appeared in television series such as Assorted Gems (2009) and Heartless City (2013). Upon turning to acting, she used the stage name Go Na-eun before reverting to use of her birth name in 2017. | - Assorted Gems
- Heartless City | closed_qa | 10,795 |
What causes leaves to change color in fall | Leaves are green due to the presence of chlorophyll. During the spring and summer months when trees are growing, there's an abundance of chlorophyll pigments in the leaves.
Chlorophyll serves the vital function of capturing sun rays and converting it to energy for the plants i.e, plants food & source of nourishment. In late summer, early fall as the days shorten there's less solar energy and thus Chlorophyll starts to breakdown giving way for other pigments such as Carotenoids to become more obvious and there orange-yellow-red colors to surface giving the trees the famous "fall color" look | open_qa | 10,797 |
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What are some interesting facts about tigers? | 1. Tiger stripes are unique.
2. Tigers can use their ears to communicate.
3. India has over half the world's population of tigers.
4. Only one in ten hunts are successful. | open_qa | 10,807 |
|
How many full-length "The X-Files" movies are there? | Two: "The X-Files: Fight the Future" and "The X-Files: I Want to Believe" | open_qa | 10,808 |
|
What is the difference between a bath and a shower? | While both a bath and a shower are common ways to get clean, they involve different processes. A bath is when someone fills a tub and immerses themselves in it, whereas a shower is when someone stands under a steady stream of water in order to get clean. | open_qa | 10,810 |
|
What is the national bird of India | The Peacock | open_qa | 10,811 |
|
What is insurance? | Insurance is a means of protection from financial loss in which, in exchange for a fee, a party agrees to compensate another party in the event of a certain loss, damage, or injury. It is a form of risk management, primarily used to hedge against the risk of a contingent or uncertain loss.
An entity which provides insurance is known as an insurer, insurance company, insurance carrier, or underwriter. A person or entity who buys insurance is known as a policyholder, while a person or entity covered under the policy is called an insured. The insurance transaction involves the policyholder assuming a guaranteed, known, and relatively small loss in the form of a payment to the insurer (a premium) in exchange for the insurer's promise to compensate the insured in the event of a covered loss. The loss may or may not be financial, but it must be reducible to financial terms. Furthermore, it usually involves something in which the insured has an insurable interest established by ownership, possession, or pre-existing relationship. | open_qa | 10,812 |
|
What are the steps to put an elephant into a fridge? | Wake up. You can't afford a fridge. | open_qa | 10,813 |
|
Given a reference text about Will Ferrell, tell me where he kickstarted his career, what group of comic actors he is considered part of, and how many Golden Globe Award nominations he has. | John William Ferrell (/ˈfɛrəl/; born July 16, 1967) is an American actor, comedian, writer, and producer. Ferrell first established himself in the mid-1990s as a cast member on the NBC sketch comedy series Saturday Night Live, where he performed from 1995 to 2002, and has subsequently starred in comedy films such as Elf (2003), Anchorman: The Legend of Ron Burgundy (2004), Kicking & Screaming (2005), Talladega Nights: The Ballad of Ricky Bobby (2006), Semi-Pro (2008), Step Brothers (2008), and Land of the Lost (2009). He founded the comedy website Funny or Die in 2007 with his writing partner Adam McKay. Other notable film roles include Stranger than Fiction (2006), The Other Guys (2010), The Campaign (2012), Get Hard (2015), Holmes & Watson (2018), and the animated films Curious George (2006), Megamind (2010) and The Lego Movie film franchise (2014–2019).
Ferrell is considered a member of the "Frat Pack", a generation of leading Hollywood comic actors who emerged in the late 1990s and the 2000s, including Jack Black, Ben Stiller, Steve Carell, Vince Vaughn, Paul Rudd, and brothers Owen and Luke Wilson. He received an Emmy Award nomination for his work on Saturday Night Live, and three Golden Globe Award nominations for acting in The Producers (2005) and Stranger than Fiction (2006) and for producing Vice (2018). He was also named the best comedian of 2015 in the British GQ Men of the Year awards. Ferrell received a star on the Hollywood Walk of Fame on March 24, 2015. | Will Ferrell kickstarted his career on the NBC sketch comedy series "Saturday Night Live". He is considered part of the "Frat Pack", and has received three Golden Globe Award nominations. | closed_qa | 10,815 |
How long is a mile? | One mile is 5,280 feet. | open_qa | 10,816 |
|
Why is basketball the fastest growing sport in the world? | Basketball is the fastest growing sport in the world because of the growth the NBA has had globally over the past few years. With popularity rising in other countries like China, India, Africa and many more it has seen a boom in many talented players who has come from different parts of the world. It will continue to grow as current NBA stars such as Lebron James and Stephen Curry have become global ambassadors of the sport. | open_qa | 10,818 |
|
What is the difference between Malayalam and Malayalaee? | Malayalam is a Dravidian language spoken in the southern state of Kerala, India. it is closely related to Tamil though the origins of the language themselves are still disputed among scholars. Malayalaee (or Malayali), on the other hand, is a term used to denote a person originating from Kerala. The term Keralite is also often used as an alternative term to denote someone hailing from Kerala. | open_qa | 10,819 |
|
How does interest rates and inflation impact bond prices? | Interest rates have an inverse effect on bond prices. Typically as the interest rate go up, the existing bonds that were sold previously at a certain maturity and coupon, now stands devalued as investors can get a newer bond for higher interest payments. Similarly during inflation as Fed tries to control inflation by raising interest rates it has the inverse effect on bond prices. It is important to note that not all bonds react the same way to interest rates. For example, short term interest rate bonds may feel the impact almost immediately while long term bonds may have a gradual but likely to see more impactful price change. It is important to note that there are Treasury Inflation protected securities, a type of a bond that adjust principal value of the bond based on inflation. | open_qa | 10,820 |
|
Why is pickleball the greatest sport on the planet? | Pickleball is a wonderful sport, though it is arguable if it is the greatest sport on the planet. Pickeball requires little skill to get started, you simply need to be able to hit a ball with a raquet and move around a small court. Pickeball is a cross between ping pong and tennis but is simpler. It gets you moving and is fast-paced without requiring significant kill or practice. Pickleball is a social sport, it is usually played in groups of two or four and people generally play multiple games in a setting. | open_qa | 10,821 |
|
What are calibration frames in astrophotography? | Calibration frames are additional exposures used to improve the quality of astrophotography images and reduce noise from outside sources. There are three common types of calibration frames used, Dark Frames, Bias Frames, and Flat Frames. From thermal noise and hot pixels to sensor readout noise and uneven field illumination, each type of calibration frame tries to reduce a specific type of noise from the initial images. These calibration frames are normally taken alongside your images while the camera is in the same configuration and temperature and are then subtracted from the initial images reducing the noise and improving the quality. | general_qa | 10,823 |
|
What civilization built temples across the Yucatan peninsula? | The Mayan civilization was based in the Yucatan peninsula | open_qa | 10,825 |
|
Why do we say tip of the iceberg? | Majority of Icebergs size/mass tends to be submerged under water. So, their size is misleading when seen from above surface.
So the expression tip of the iceberg refers to a big issue when we see only a small part of it. | open_qa | 10,826 |
|
If you are considering buying a bicycle consider your budget, look up the reviews online, talk to friends, and test them out! | When considering what bicycle you would like to buy, I strongly encourage you to test them out! Then take into consideration color, type, durability, comfort, cost and reviews. | general_qa | 10,829 |
|
What is a Fully paid share? | A share becomes fully paid when the company issuing it has received all the money due for the share. | open_qa | 10,831 |
|
The "Garbage collection" log of a JVM is formatted as follows:
1. Each line represents a single garbage collection operation starting at the timestamp.
2. The before and after sizes of different memory areas in the JVM are shown as "MemoryArea : BeforeSize->AfterSize(AllocatedSize)" where MemoryArea is one of PSYoungGen, ParOldGen, or Metaspace.
3. If the "MemoryArea:" is omitted, it represents the before and after size of the entire JVM's memory.
4. Each line has the time taken for the operation in seconds.
Summarize the following log and note any significant anomalies:
2023-03-30T07:00:19.800+0000: [GC (Allocation Failure) [PSYoungGen: 17197776K->2224032K(21782528K)] 64496630K->49524856K(79218176K), 3.2658630 secs] [Times: user=4.53 sys=0.00, real=3.27 secs]
2023-03-30T07:01:06.553+0000: [GC (Allocation Failure) [PSYoungGen: 17471392K->2195300K(22969344K)] 64772216K->49530782K(80404992K), 3.3074224 secs] [Times: user=4.63 sys=0.00, real=3.30 secs]
2023-03-30T07:01:56.129+0000: [GC (Allocation Failure) [PSYoungGen: 19045732K->2429792K(22598656K)] 66381214K->49767742K(80034304K), 3.5912859 secs] [Times: user=4.94 sys=0.00, real=3.59 secs]
2023-03-30T07:02:46.034+0000: [GC (Allocation Failure) [PSYoungGen: 19280224K->2428421K(23520768K)] 66618174K->49768148K(80956416K), 3.6520001 secs] [Times: user=5.07 sys=0.03, real=3.65 secs]
2023-03-30T07:03:39.130+0000: [GC (Allocation Failure) [PSYoungGen: 20488709K->2600800K(23257088K)] 67828436K->49943004K(80692736K), 3.8378192 secs] [Times: user=5.19 sys=0.00, real=3.84 secs]
2023-03-30T07:04:31.634+0000: [GC (Allocation Failure) [PSYoungGen: 20661088K->2550592K(23885312K)] 68003292K->49894476K(81320960K), 3.7886199 secs] [Times: user=5.15 sys=0.00, real=3.78 secs]
2023-03-30T07:05:28.784+0000: [GC (Allocation Failure) [PSYoungGen: 21416768K->2709510K(23698432K)] 68760652K->50055163K(81134080K), 3.9951697 secs] [Times: user=5.54 sys=0.00, real=3.99 secs]
2023-03-30T07:06:24.857+0000: [GC (Allocation Failure) [PSYoungGen: 21575686K->2709696K(24113664K)] 68921339K->50058933K(81549312K), 4.0210395 secs] [Times: user=5.47 sys=0.01, real=4.02 secs]
2023-03-30T07:07:21.991+0000: [GC (Allocation Failure) [PSYoungGen: 22106304K->2835749K(24000512K)] 69455541K->50186794K(81436160K), 4.0703042 secs] [Times: user=5.76 sys=0.00, real=4.06 secs]
2023-03-30T07:08:18.668+0000: [GC (Allocation Failure) [PSYoungGen: 22232357K->2785312K(24265216K)] 69583402K->50204626K(81700864K), 4.1296625 secs] [Times: user=5.77 sys=0.00, real=4.13 secs]
2023-03-30T07:09:16.891+0000: [GC (Allocation Failure) [PSYoungGen: 22510624K->2834405K(24177664K)] 69929938K->50255520K(81613312K), 4.2070487 secs] [Times: user=5.89 sys=0.01, real=4.21 secs]
2023-03-30T07:10:15.553+0000: [GC (Allocation Failure) [PSYoungGen: 22559717K->2842896K(24403456K)] 69980832K->50266688K(81839104K), 4.2489383 secs] [Times: user=5.83 sys=0.02, real=4.24 secs]
2023-03-30T07:11:15.412+0000: [GC (Allocation Failure) [PSYoungGen: 22863632K->2880069K(24334848K)] 70287424K->50306742K(81770496K), 4.2983311 secs] [Times: user=6.01 sys=0.00, real=4.29 secs]
2023-03-30T07:12:17.330+0000: [GC (Allocation Failure) [PSYoungGen: 22900805K->2670097K(24596992K)] 70327478K->50099432K(82032640K), 3.9450690 secs] [Times: user=5.44 sys=0.00, real=3.95 secs]
2023-03-30T07:13:15.713+0000: [GC (Allocation Failure) [PSYoungGen: 23009297K->2684375K(24459776K)] 70438632K->50115773K(81895424K), 3.9758416 secs] [Times: user=5.53 sys=0.00, real=3.97 secs]
2023-03-30T07:14:12.939+0000: [GC (Allocation Failure) [PSYoungGen: 23023575K->2678912K(24829952K)] 70454973K->50113093K(82265600K), 3.9702778 secs] [Times: user=5.52 sys=0.00, real=3.97 secs]
2023-03-30T07:15:12.343+0000: [GC (Allocation Failure) [PSYoungGen: 23508608K->2753575K(24717312K)] 70942789K->50189628K(82152960K), 4.0754481 secs] [Times: user=5.72 sys=0.00, real=4.08 secs]
2023-03-30T07:16:13.026+0000: [GC (Allocation Failure) [PSYoungGen: 23583271K->2762097K(24974336K)] 71019324K->50201762K(82409984K), 4.1128461 secs] [Times: user=5.66 sys=0.00, real=4.11 secs]
2023-03-30T07:17:14.129+0000: [GC (Allocation Failure) [PSYoungGen: 23924593K->2797957K(24905728K)] 71364258K->50239629K(82341376K), 4.1456776 secs] [Times: user=5.74 sys=0.01, real=4.15 secs]
2023-03-30T07:18:14.857+0000: [GC (Allocation Failure) [PSYoungGen: 23960453K->2804721K(25075712K)] 71402125K->50249103K(82511360K), 4.1905285 secs] [Times: user=5.73 sys=0.01, real=4.19 secs]
2023-03-30T07:19:15.979+0000: [GC (Allocation Failure) [PSYoungGen: 24189937K->3641846K(25027072K)] 71634319K->51171235K(82462720K), 3.6175882 secs] [Times: user=5.94 sys=0.00, real=3.62 secs]
2023-03-30T07:22:24.484+0000: [GC (Allocation Failure) [PSYoungGen: 25027062K->3360979K(24336896K)] 72556451K->52269877K(81772544K), 0.4407322 secs] [Times: user=5.66 sys=0.00, real=0.44 secs]
2023-03-30T07:22:38.974+0000: [GC (Allocation Failure) [PSYoungGen: 24007379K->4035567K(24681984K)] 72916277K->57145380K(82117632K), 0.8531910 secs] [Times: user=10.80 sys=0.23, real=0.85 secs]
2023-03-30T07:22:52.666+0000: [GC (Allocation Failure) [PSYoungGen: 24677029K->24677029K(24681984K)] 77786841K->82112670K(82117632K), 7.3509182 secs] [Times: user=22.60 sys=11.27, real=7.35 secs]
2023-03-30T07:23:00.017+0000: [Full GC (Ergonomics) [PSYoungGen: 24677029K->0K(24681984K)] [ParOldGen: 57435641K->57435322K(57435648K)] 82112670K->57435322K(82117632K), [Metaspace: 241941K->241941K(260096K)], 26.4487596 secs] [Times: user=313.82 sys=2.44, real=26.45 secs]
2023-03-30T07:24:07.186+0000: [Full GC (Ergonomics) [PSYoungGen: 20646400K->12427037K(24681984K)] [ParOldGen: 57435322K->57435609K(57435648K)] 78081722K->69862646K(82117632K), [Metaspace: 241947K->241947K(260096K)], 28.8675082 secs] [Times: user=350.97 sys=1.74, real=28.87 secs]
2023-03-30T07:24:36.057+0000: [Full GC (System.gc()) [PSYoungGen: 12730000K->12427055K(24681984K)] [ParOldGen: 57435609K->57435556K(57435648K)] 70165609K->69862611K(82117632K), [Metaspace: 241947K->241947K(260096K)], 31.3736816 secs] [Times: user=379.38 sys=2.94, real=31.37 secs]
2023-03-30T07:25:18.096+0000: [Full GC (Ergonomics) [PSYoungGen: 20646400K->16985330K(24681984K)] [ParOldGen: 57435556K->57435308K(57435648K)] 78081956K->74420638K(82117632K), [Metaspace: 241999K->241999K(260096K)], 31.4762980 secs] [Times: user=363.38 sys=3.10, real=31.48 secs]
2023-03-30T07:25:54.537+0000: [Full GC (Ergonomics) [PSYoungGen: 20646400K->19116969K(24681984K)] [ParOldGen: 57435308K->57435152K(57435648K)] 78081708K->76552122K(82117632K), [Metaspace: 241999K->241999K(260096K)], 31.0418139 secs] [Times: user=377.34 sys=2.75, real=31.04 secs]
2023-03-30T07:26:27.487+0000: [Full GC (Ergonomics) [PSYoungGen: 20646400K->19955901K(24681984K)] [ParOldGen: 57435152K->57435290K(57435648K)] 78081552K->77391191K(82117632K), [Metaspace: 241999K->241999K(260096K)], 22.9475977 secs] [Times: user=280.80 sys=1.57, real=22.95 secs]
2023-03-30T07:26:51.319+0000: [Full GC (Ergonomics) [PSYoungGen: 20646400K->20340549K(24681984K)] [ParOldGen: 57435290K->57435523K(57435648K)] 78081690K->77776072K(82117632K), [Metaspace: 242004K->242004K(260096K)], 37.2564843 secs] [Times: user=458.29 sys=3.35, real=37.26 secs]
2023-03-30T07:27:28.892+0000: [Full GC (Ergonomics) [PSYoungGen: 20646400K->20465997K(24681984K)] [ParOldGen: 57435523K->57435230K(57435648K)] 78081923K->77901227K(82117632K), [Metaspace: 242007K->242007K(260096K)], 31.4213545 secs] [Times: user=382.65 sys=2.74, real=31.42 secs]
2023-03-30T07:28:00.350+0000: [Full GC (Ergonomics) [PSYoungGen: 20646400K->20492397K(24681984K)] [ParOldGen: 57435230K->57435139K(57435648K)] 78081630K->77927536K(82117632K), [Metaspace: 242011K->242011K(260096K)], 17.3069966 secs] [Times: user=209.34 sys=0.45, real=17.31 secs]
2023-03-30T07:28:17.694+0000: [Full GC (Ergonomics) [PSYoungGen: 20639999K->20482496K(24681984K)] [ParOldGen: 57435139K->57435581K(57435648K)] 78075138K->77918078K(82117632K), [Metaspace: 242023K->242023K(260096K)], 39.0253664 secs] [Times: user=478.37 sys=3.87, real=39.02 secs]
2023-03-30T07:28:56.752+0000: [Full GC (Ergonomics) [PSYoungGen: 20629482K->20490559K(24681984K)] [ParOldGen: 57435581K->57435269K(57435648K)] 78065064K->77925828K(82117632K), [Metaspace: 242023K->242023K(260096K)], 32.7146380 secs] [Times: user=398.86 sys=2.93, real=32.71 secs]
2023-03-30T07:29:29.592+0000: [Full GC (Ergonomics) [PSYoungGen: 20627596K->20498740K(24681984K)] [ParOldGen: 57435269K->57435482K(57435648K)] 78062865K->77934223K(82117632K), [Metaspace: 242029K->242029K(260096K)], 39.9805382 secs] [Times: user=491.39 sys=4.10, real=39.98 secs]
2023-03-30T07:30:09.618+0000: [Full GC (Ergonomics) [PSYoungGen: 20646400K->20529006K(24681984K)] [ParOldGen: 57435482K->57435402K(57435648K)] 78081882K->77964408K(82117632K), [Metaspace: 242038K->242038K(260096K)], 31.3632706 secs] [Times: user=382.46 sys=2.74, real=31.36 secs]
2023-03-30T07:30:41.012+0000: [Full GC (Ergonomics) [PSYoungGen: 20646400K->20535638K(24681984K)] [ParOldGen: 57435402K->57435345K(57435648K)] 78081802K->77970983K(82117632K), [Metaspace: 242053K->242053K(260096K)], 31.0060106 secs] [Times: user=377.25 sys=2.72, real=31.00 secs]
2023-03-30T07:31:12.022+0000: [Full GC (Ergonomics) [PSYoungGen: 20646400K->20535719K(24681984K)] [ParOldGen: 57435345K->57435297K(57435648K)] 78081745K->77971016K(82117632K), [Metaspace: 242053K->242053K(260096K)], 31.1714473 secs] [Times: user=380.42 sys=2.74, real=31.18 secs]
2023-03-30T07:31:43.215+0000: [Full GC (Ergonomics) [PSYoungGen: 20646400K->20536490K(24681984K)] [ParOldGen: 57435297K->57435275K(57435648K)] 78081697K->77971766K(82117632K), [Metaspace: 242061K->242061K(260096K)], 30.9676462 secs] [Times: user=377.19 sys=2.88, real=30.96 secs]
2023-03-30T07:32:14.216+0000: [Full GC (Ergonomics) [PSYoungGen: 20646400K->20537679K(24681984K)] [ParOldGen: 57435275K->57435244K(57435648K)] 78081675K->77972923K(82117632K), [Metaspace: 242081K->242081K(260096K)], 31.2592798 secs] [Times: user=379.77 sys=3.04, real=31.26 secs]
2023-03-30T07:32:45.532+0000: [Full GC (Ergonomics) [PSYoungGen: 20646400K->20518698K(24681984K)] [ParOldGen: 57435244K->57435465K(57435648K)] 78081644K->77954164K(82117632K), [Metaspace: 242123K->242123K(260096K)], 38.9523351 secs] [Times: user=478.26 sys=4.04, real=38.95 secs]
2023-03-30T07:33:45.139+0000: [Full GC (Ergonomics) [PSYoungGen: 20627835K->20519977K(24681984K)] [ParOldGen: 57435465K->57435334K(57435648K)] 78063301K->77955311K(82117632K), [Metaspace: 242185K->242185K(260096K)], 31.8680480 secs] [Times: user=388.66 sys=2.88, real=31.87 secs]
2023-03-30T07:34:17.045+0000: [Full GC (Ergonomics) [PSYoungGen: 20646400K->20529987K(24681984K)] [ParOldGen: 57435334K->57435313K(57435648K)] 78081734K->77965301K(82117632K), [Metaspace: 242185K->242185K(260096K)], 30.6528436 secs] [Times: user=370.84 sys=3.05, real=30.65 secs]
2023-03-30T07:35:08.312+0000: [Full GC (Ergonomics) [PSYoungGen: 20646400K->20552578K(24681984K)] [ParOldGen: 57435313K->57435312K(57435648K)] 78081713K->77987890K(82117632K), [Metaspace: 242202K->242202K(260096K)], 31.3030289 secs] [Times: user=380.50 sys=2.90, real=31.30 secs]
2023-03-30T07:35:39.649+0000: [Full GC (Ergonomics) [PSYoungGen: 20646400K->20541558K(24681984K)] [ParOldGen: 57435312K->57435297K(57435648K)] 78081712K->77976855K(82117632K), [Metaspace: 242217K->242217K(260096K)], 31.4996226 secs] [Times: user=384.32 sys=3.00, real=31.50 secs]
2023-03-30T07:36:11.199+0000: [Full GC (Ergonomics) [PSYoungGen: 20646400K->20562436K(24681984K)] [ParOldGen: 57435297K->57435260K(57435648K)] 78081697K->77997697K(82117632K), [Metaspace: 242238K->242238K(260096K)], 31.1358920 secs] [Times: user=378.46 sys=3.00, real=31.14 secs] | 1. The log has 47 GC operations over a 36-minute interval from 7:00 AM to 7:36 AM on 30th March 2023 UTC.
2. The GC operations start at roughly one per minute and take less than five seconds each, but after 7:23 AM, they abruptly take about 30 seconds each and occur twice a minute. In other words, initially, GC operations take up a small fraction of the JVM time, while later, they take up almost all of its time.
3. GC operations in this second period result in a very slight decrease in the total memory size and the PSYoungGen, ParOldGen, and Metaspace memory areas. This behavior is especially acute after 7:26:51 AM.
4. This indicates much time spent in GC operations with little result.
5. The total memory size initially slowly grows from 49.5GB to 52.3 GB, but in the second period maxes out at around 78 GB.
6. The allocated memory size is fixed at 82 GB during the second period of GC operations, indicating an outer limit.
7. I recommend increasing the maximum allocated memory beyond the 82 GB limit, doubling it if possible, and re-running the JVM. | general_qa | 10,834 |
|
What was Charles Dickens last (unfinished) novel | Mystery of Edwin
Drood | open_qa | 10,837 |
|
Why do you like ballet so much? | Ballet is a true form of art. I enjoy taking ballet classes because we always dance with beautiful piano music during the floor and barre exercises. It is so relaxing when my body naturally dances with classical music. Ballet has some rigid rules when conducting certain movements, but it truly can be creative. Anyone at any age can attend a ballet class, and can create his or her own piece of ballet dance.
Many people say Ballet is an intensive sport, because one often gets very sweaty after taking a ballet class. It is true that ballet is a good exercise for anyone who takes the class or performs on a stage. But because of the beautiful music that comes along during the classes, we/ballet dancers do not feel as tired as going to a gym or running a marathon. The music helps us forget about the soreness in muscles. Our bodies are as light as feathers during turns and leaps. | general_qa | 10,838 |
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Given this paragraph about Pablo Escobar, how much money did he have when he died? | Pablo Emilio Escobar Gaviria (/ˈɛskəbɑːr/; Spanish: [ˈpaβlo es.koˈβ̞aɾ]; 1 December 1949 – 2 December 1993) was a Colombian drug lord and narcoterrorist who was the founder and sole leader of the Medellín Cartel. Dubbed "the king of cocaine", Escobar was the wealthiest criminal in history, having amassed an estimated net worth of US$30 billion by the time of his death—equivalent to $70 billion as of 2022—while his drug cartel monopolized the cocaine trade into the United States in the 1980s and early 1990s. | Pablo Escobar had an estimated net worth of $30B when he died in 1993. | closed_qa | 10,839 |
Given a reference text that describes about hotpot, from which country does this dish originate? | Hot pot or hotpot (simplified Chinese: 火锅; traditional Chinese: 火鍋; pinyin: huǒguō; lit. 'fire pot'), also known as soup-food or steamboat, is a dish whereby a heat source placed on the dining table keeps a pot of soup stock simmering, and a variety of Chinese foodstuffs and ingredients are served beside the pot for the diners to put into the hot stock. | Hot pot or Hotpot is originated from China. | closed_qa | 10,840 |
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