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OPUS 4.7$15 / $75per Mtok
SONNET 4.6$3 / $15per Mtok
GPT-5.5$10 / $30per Mtok
GEMINI 3.1$3.50 / $10.50per Mtok
SWE-BENCHleader Claude Opus 4.772.1%
MMLU-PROleader Opus 4.788.4
VALS FINANCEleader Opus 4.764.4%
AFTAv1.0 whitepaper live at /whitepaper
OPUS 4.7$15 / $75per Mtok
SONNET 4.6$3 / $15per Mtok
GPT-5.5$10 / $30per Mtok
GEMINI 3.1$3.50 / $10.50per Mtok
SWE-BENCHleader Claude Opus 4.772.1%
MMLU-PROleader Opus 4.788.4
VALS FINANCEleader Opus 4.764.4%
AFTAv1.0 whitepaper live at /whitepaper
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Books & Learning

Books, courses, and learning materials worth reading for ML, AI engineering, and agent building.

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2026-05-23
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Books & Learning

3 products in Books & Learning
AI Engineering by Chip Huyen, book cover
EDITOR'S PICKNEW
O'REILLYBOOKS & LEARNING

AI Engineering by Chip Huyen

The most-read book on the O'Reilly platform in 2025, framing the entire LLM application stack from foundation model choice through deployment.

  • O'Reilly Media, 2025
  • ISBN 978-1098166304
  • Paperback and Kindle editions
  • Translated into 6+ languages
  • Companion repo at github.com/chiphuyen/aie-book
AI USEThe canonical text for AI engineers shipping production LLM applications. Pairs with Huyen's earlier Designing Machine Learning Systems for the full ML-systems curriculum.
$59.99
O'REILLY
View on Amazon
#book#ai-engineering#llm#learning
EDITOR'S PICK
O'REILLYBOOKS & LEARNING

Designing Machine Learning Systems by Chip Huyen

The book that taught a generation of ML engineers how to ship real systems before LLMs reset the conversation.

  • O'Reilly Media, 2022
  • ISBN 978-1098107963
  • Paperback, Kindle, O'Reilly online
  • Companion repo at github.com/chiphuyen/dmls-book
  • Used in Stanford CS 329S
AI USEFoundational reading for anyone building classical ML systems alongside LLMs, especially data engineers, ML platform engineers, and engineering managers.
$49.99
O'REILLY
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#book#ml-systems#mlops#learning
The Coming Wave by Mustafa Suleyman, book cover
NEW
CROWNBOOKS & LEARNING

The Coming Wave by Mustafa Suleyman

The DeepMind cofounder's case for why containment, not capability, is the defining problem of the AI era.

  • Hardcover, paperback, audiobook, Kindle
  • 352 pages
  • ISBN 978-0593593950
  • Crown imprint, Penguin Random House
  • Co-authored with Michael Bhaskar
AI USERequired context for anyone working on AI policy, alignment, or governance, and a clean argument primer for talking to non-technical audiences about why this matters.
$18 to $32
PENGUIN RANDOM HOUSE
View on Amazon
#book#ai-policy#governance#learning

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