---
title: README
emoji: 📚
colorFrom: purple
colorTo: blue
sdk: static
pinned: false
---

Welcome to the llmware HuggingFace page.   We believe that the ascendence of LLMs creates a major new application pattern and data 
pipelines that will be transformative in the enterprise, especially in knowledge-intensive industries.    Our open source research efforts 
are focused both on the new "ware" ("middleware" and "software" that will wrap and integrate LLMs), as well as building high-quality
automation-focused enterprise RAG models.  

Please check out a few of our blog postings related to these initiatives:   
  [BLING](https://medium.com/@darrenoberst/small-instruct-following-llms-for-rag-use-case-54c55e4b41a8) | 
  [RAG-INSTRUCT-TEST-DATASET](https://medium.com/@darrenoberst/how-accurate-is-rag-8f0706281fd9) | 
  [LLMWARE EMERGING STACK](https://medium.com/@darrenoberst/the-emerging-llm-stack-for-rag-deee093af5fa) | 
  [MODEL SIZE TRENDS](https://medium.com/@darrenoberst/are-the-mega-llms-driving-the-future-or-they-already-in-the-past-c3b949f9f5a5) |
  [OPEN SOURCE RAG](https://medium.com/@darrenoberst/open-source-llms-in-rag-89d397b39511)  
  [1B-3B-7B LLM CAPABILITIES](https://medium.com/@darrenoberst/rag-instruct-capabilities-they-grow-up-so-fast-2647550cdc0a)  
  
Interested?  [Join us on Discord](https://discord.gg/MhZn5Nc39h)