Inside the LLM

From tokens to text generation
Chapters written by Edward Raff, Drew Farris, Stella Biderman, Nicole Koenigstein, Sebastian Raschka, François Chollet, Matthew Watson
  • October 2026
  • ISBN 9781638359272
  • 126 pages

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See what happens after the prompt—and build the technical knowledge to work with LLMs more effectively. This laser-focused four-chapter ebook combines clear explanations with hands-on implementation, helping you connect foundational concepts to transformer architecture, GPT construction, and modern text-generation techniques. With this practical primer, you’ll strengthen your understanding, sharpen your technical judgment, and approach text-generating models with greater confidence.

about the authors

Edward Raff, Drew Farris and Stella Biderman are the Director of Emerging AI, Director of AI/ML Research, and machine learning researcher at Booz Allen Hamilton.

Nicole Koenigstein is the Co-Founder and Chief AI Officer at the fintech company Quantmate.

Sebastian Raschka is an LLM Research Engineer with over a decade of experience. He is the author of the bestselling book Build a Large Language Model (From Scratch).

François Chollet is the co-founder of Ndea and the creator of Keras. Matthew Watson is a software engineer at Google working on Gemini and a core maintainer of Keras.
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