07 — Generative AI¶
Generative AI: LLMs, diffusion, embeddings, frameworks, and the model landscape.
Scope¶
Cheat sheets for generative AI concepts, API usage, and application frameworks (LangChain, LangGraph, LlamaIndex). LLM-specific topics (local inference, prompting techniques) belong to 08-LLM.
Cheat Sheets¶
| Sheet | Covers |
|---|---|
| generative-ai.md | Model families, embeddings, context, temperature, structured output, prompting |
| openai-api | GPT-4o, chat completions, vision, streaming, function calling, embeddings, fine-tuning |
| anthropic-api | Claude: messages, extended thinking, vision, tool use, long context |
| google-gemini | Gemini: multimodal, grounding, embeddings, function calling |
| langchain | Composable chains, prompts, parsers, tools, agents, structured output |
| langgraph | Stateful workflows, graphs, state, routing, human-in-the-loop, persistence |
| llamaindex | Data framework for RAG: indexing, query engines, vector stores, retrieval |
Contribute¶
- Template: CHEATSHEET_TEMPLATE.md
- Guide: CONTRIBUTING.md
- Planned: image generation (Stable Diffusion, DALL·E), audio/video generation