Building LLMs for Production by Louis-François Bouchard & Louie Peters

Building LLMs for Production by Louis-François Bouchard & Louie Peters

Getting a language model to work in a demo is easy. Getting it to work reliably at scale, in production, day after day — that's the hard part. Building LLMs for Production by Louis-François Bouchard and Louie Peters (Towards AI) is the practical guide that bridges that gap. This book is about the real engineering behind production LLM systems — covering prompting, fine-tuning, and Retrieval-Augmented Generation (RAG) with the kind of depth that actually matters when your system is live.

Bouchard and Peters draw from real-world experience to show you how to enhance LLM reliability, handle edge cases, and build systems that hold up under pressure. Whether you're a developer integrating LLMs into products, a data scientist building AI pipelines, or an engineer responsible for making sure things don't break — this book gives you the practical toolkit to ship LLM-powered features with confidence. Stop building LLM demos. Start building LLM products.

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