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Learn to build robust Language Model (LLM) programs through this hands-on tutorial exploring DSPy, a PyTorch-inspired framework. Dive into core concepts of chaining LLM calls, where outputs from one call become inputs for the next. Master the Signature abstraction that streamlines codebases by encapsulating prompts and structured data. Follow along with introduction notebooks to compile a retrieve-then-read RAG program while understanding how DSPy's compiler optimizes instructions and sources task examples. Access practical examples through the provided GitHub repository to enhance your understanding of this powerful framework for developing sophisticated LLM applications.
