dmatrix/genai-cookbook

Provides hands-on Python notebooks covering prompting strategies, RAG systems, fine-tuning, function calling, and agent architectures across multiple LLM providers (OpenAI, Anthropic, Gemini, Ollama). Includes DSPy framework examples as an alternative to traditional prompt engineering, plus evaluation tooling with MLflow and vector database integrations for semantic search. Targets beginner developers building production LLM applications with practical API examples and multi-model provider support through environment-based configuration.

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