Programming LLMs with DSPy: Architect Self-Improving Agents and RAG Workflows for Maximum Accuracy and Scale
by Cal Rowe
Programming LLMs with DSPy examines how to build large language model applications around self-improving agents and retrieval-augmented generation workflows. With its focus on accuracy and scale, this book offers a technology-centered introduction to designing and programming modern LLM systems with DSPy.
About This Book
Programming LLMs with DSPy introduces the subject of developing applications built around large language models.
The book focuses on DSPy programming and the design of self-improving agents.
It also addresses retrieval-augmented generation workflows, commonly known as RAG.
With an emphasis on accuracy and scale, the book is aimed at readers exploring structured approaches to LLM-based systems.
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