DESIGNING LLM SYSTEMS: RAG, Tool Use, Guardrails, and Evals—Step-by-Step Walkthroughs + an Actively Maintained GitHub Repo to Design, Test, and Ship Reliable LLM Features
by Ethan Vector
Designing LLM Systems is a practical guide to building reliable large language model features. It covers retrieval-augmented generation, tool use, guardrails, and evaluations through step-by-step walkthroughs, with an actively maintained GitHub repository to support designing, testing, and shipping LLM systems.
About This Book
Designing LLM Systems presents a practical guide to building reliable features powered by large language models.
The book focuses on retrieval-augmented generation, tool use, guardrails, and evaluations, with step-by-step walkthroughs.
It is designed for readers who want to move from concepts to the testing and shipping of LLM features.
An actively maintained GitHub repository accompanies the material, supporting hands-on exploration of the systems and practices discussed.
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