Book Overview
The book is for anyone who wants to build LLM products that can serve real use cases today. It explores various methods to adapt "foundational" LLMs to specific tasks with enhanced accuracy, reliability, and scalability. It tackles the lack of reliability of “out of the box” LLMs by teaching the AI developer tech stack of the future; Prompting, Fine-Tuning, RAG, and Tools Use.
LLMs are a fast-evolving and competitive field and new models and techniques will appear. These will unlock new capabilities, but today's LLM developer stack is transferable and will also be essential for adapting next-generation models to specific data and industries. Those using the models of today are best placed to take advantage of the models of the future! We focus on teaching the core principles of building production products with LLMs which will keep this book relevant as models change.
LLMs are very different from other software technologies and are already widely deployed online to hundreds of millions of users. As they continue to advance, it's crucial for workers across all sectors to adapt and develop skills that complement AI capabilities. There will never be a better time to learn how LLMs work and how to develop with them!
This book comes with access to our webpage where we also share lots of additional up-to-date content, code, notebooks, and resources.
This book breaks down techniques that are scalable for enterprise-level workflows, helping both independent developers and small companies with limited resources create AI products that deliver value to paying customers.
Amazon US
Contact
