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How to Cite This Book

If you found this book useful for your research, teaching, or projects, please consider citing it. Proper citation helps support the authors and makes academic work more discoverable.

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BibTeX Citation

Use this BibTeX entry for academic papers and technical documentation: 
@book{hands-on-llms-book,
  author       = {Jay Alammar and Maarten Grootendorst},
  title        = {Hands-On Large Language Models},
  publisher    = {O'Reilly},
  year         = {2024},
  isbn         = {978-1098150969},
  url          = {https://www.oreilly.com/library/view/hands-on-large-language/9781098150952/},
  github       = {https://github.com/HandsOnLLM/Hands-On-Large-Language-Models}
}

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Other Citation Formats

Alammar, J., & Grootendorst, M. (2024). Hands-On Large Language Models. O’Reilly Media. https://www.oreilly.com/library/view/hands-on-large-language/9781098150952/
Alammar, Jay, and Maarten Grootendorst. Hands-On Large Language Models. O’Reilly Media, 2024.
Alammar, Jay, and Maarten Grootendorst. Hands-On Large Language Models. Sebastopol, CA: O’Reilly Media, 2024.
J. Alammar and M. Grootendorst, Hands-On Large Language Models. Sebastopol, CA: O’Reilly Media, 2024.

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Book Information

Publisher

O’Reilly Media

Publication Year

2024

ISBN (Print)

978-1098150969

ISBN (eBook)

9781098150952

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Where to Purchase

The book is available from multiple retailers:

Amazon

Print and Kindle editions

O'Reilly

Digital access with O’Reilly membership

Kindle

Digital edition for Kindle

Barnes & Noble

Print edition from B&N
For readers in India, the book is available through Shroff Publishers.

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GitHub Repository

The complete code examples from the book are available on GitHub:

HandsOnLLM/Hands-On-Large-Language-Models

Access all chapter notebooks and code examples
When citing code examples from the repository, include both the book citation and a link to the specific notebook or code file you used.

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Reviews and Ratings

Goodreads

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Additional Resources

Looking for course materials? Check out the How Transformer LLMs Work course on DeepLearning.AI, which complements the book’s content.

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