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"cell_type": "markdown",
"id": "716e0803-982b-49eb-926f-4d7bc1d24c71",
"metadata": {},
"source": [
"# 5 Workflow Design Pattern"
]
},
{
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"id": "13d96dc6",
"metadata": {},
"source": [
"### 1. Prompt Chaining : \n",
"Result from one llm to another llm"
]
},
{
"cell_type": "markdown",
"id": "633cd510-5697-4890-a527-c36942a1c2d0",
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"source": [
"```mermaid\n",
"flowchart LR\n",
" IN((IN)):::in --> LLM1[LLM1]:::llm\n",
" LLM1 --> Gate[Gate]:::gate\n",
" Gate --> LLM2[LLM2]:::llm\n",
" LLM2 --> LLM3[LLM3]:::llm\n",
" LLM3 --> OUT((OUT)):::out\n",
"\n",
" classDef in fill:#ff7f0e,stroke:#000,color:#fff;\n",
" classDef out fill:#ff7f0e,stroke:#000,color:#fff;\n",
" classDef llm fill:#b58900,stroke:#000,color:#fff;\n",
" classDef gate fill:#1f77b4,stroke:#000,color:#fff;\n"
]
},
{
"cell_type": "markdown",
"id": "bf9dc153-87a4-4a1a-b045-488408b2b944",
"metadata": {},
"source": [
"### 2. Routing\n",
"One LLM acts as a router to route to specialist llms"
]
},
{
"cell_type": "markdown",
"id": "1c5e9561-643f-4368-8c35-94482134ddca",
"metadata": {},
"source": [
"```mermaid\n",
"flowchart LR\n",
" IN((IN)):::in --> Router[LLM Router]:::gate\n",
" Router --> LLM1[LLM1]:::llm\n",
" Router --> LLM2[LLM2]:::llm\n",
" Router --> LLM3[LLM3]:::llm\n",
" LLM1 --> OUT((OUT)):::out\n",
" LLM2 --> OUT\n",
" LLM3 --> OUT\n",
"\n",
" classDef in fill:#ff7f0e,stroke:#000,color:#fff;\n",
" classDef out fill:#ff7f0e,stroke:#000,color:#fff;\n",
" classDef llm fill:#b58900,stroke:#000,color:#fff;\n",
" classDef gate fill:#1f77b4,stroke:#000,color:#fff;\n"
]
},
{
"cell_type": "markdown",
"id": "56c725b5-38b0-4cc0-8713-5a5d300e5a5c",
"metadata": {},
"source": [
"### 3. Parallelization\n",
"Code as a router and in parallel sent to llms for answer and then again code aggregates and send final output "
]
},
{
"cell_type": "markdown",
"id": "555129f1-3d4f-46b3-a154-afb8331508ef",
"metadata": {},
"source": [
"```mermaid\n",
"flowchart LR\n",
" IN((IN)):::in --> Coord[Coordinator]:::gate\n",
" Coord --> LLM1[LLM1]:::llm\n",
" Coord --> LLM2[LLM2]:::llm\n",
" Coord --> LLM3[LLM3]:::llm\n",
" LLM1 --> Agg[Aggregator]:::gate\n",
" LLM2 --> Agg\n",
" LLM3 --> Agg\n",
" Agg --> OUT((OUT)):::out\n",
"\n",
" classDef in fill:#ff7f0e,stroke:#000,color:#fff;\n",
" classDef out fill:#ff7f0e,stroke:#000,color:#fff;\n",
" classDef llm fill:#b58900,stroke:#000,color:#fff;\n",
" classDef gate fill:#1f77b4,stroke:#000,color:#fff;\n"
]
},
{
"cell_type": "markdown",
"id": "65b5521e-1f5f-4e96-90f6-d85b8f2b4624",
"metadata": {},
"source": [
"### 4. Orchestrator-Worker\n",
"Similar to Parallelization but instead of code, it is LLM"
]
},
{
"cell_type": "markdown",
"id": "ed59e3a1-a64f-4619-b051-5fa42575f56a",
"metadata": {},
"source": [
"```mermaid\n",
"flowchart LR\n",
" IN((IN)):::in --> Orchestrator[Orchestrator]:::llm\n",
" Orchestrator --> LLM1[LLM1]:::llm\n",
" Orchestrator --> LLM2[LLM2]:::llm\n",
" Orchestrator --> LLM3[LLM3]:::llm\n",
" LLM1 --> Synth[Synthesizer]:::gate\n",
" LLM2 --> Synth\n",
" LLM3 --> Synth\n",
" Synth --> OUT((OUT)):::out\n",
"\n",
" classDef in fill:#ff7f0e,stroke:#000,color:#fff;\n",
" classDef out fill:#ff7f0e,stroke:#000,color:#fff;\n",
" classDef llm fill:#b58900,stroke:#000,color:#fff;\n",
" classDef gate fill:#1f77b4,stroke:#000,color:#fff;\n"
]
},
{
"cell_type": "markdown",
"id": "57c7109b",
"metadata": {},
"source": [
"### 5. Evaluator-Optimizer\n",
"LLM Output is evaluated by another LLM and it either accepts or reject the answer"
]
},
{
"cell_type": "markdown",
"id": "439b4e7d-1009-418a-b88c-a4f5bd089bd5",
"metadata": {},
"source": [
"```mermaid\n",
"flowchart LR\n",
" IN((IN)):::in --> Generator[LLM Generator]:::llm\n",
" Generator --> Evaluator[LLM Evaluator]:::llm\n",
" Evaluator -->|Accepted| OUT((OUT)):::out\n",
" Evaluator -.->|Rejected with Feedback| Generator\n",
"\n",
" classDef in fill:#ff7f0e,stroke:#000,color:#fff;\n",
" classDef out fill:#ff7f0e,stroke:#000,color:#fff;\n",
" classDef llm fill:#b58900,stroke:#000,color:#fff;\n",
" classDef gate fill:#1f77b4,stroke:#000,color:#fff;\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "97096f3a-0c5f-4ff8-9b20-7cb7fce2195f",
"metadata": {},
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}
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