LIVE
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.

3 productsLast reviewed:

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AI Engineering by Chip Huyen
Editor's PickNew

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 use: The 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
#book#ai-engineering#llm#learning
O'Reilly Media
Designing Machine Learning Systems by Chip Huyen
Editor's Pick
View on Amazon: 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 use: Foundational reading for anyone building classical ML systems alongside LLMs, especially data engineers, ML platform engineers, and engineering managers.
$49.99
#book#ml-systems#mlops#learning
The Coming Wave by Mustafa Suleyman
New
Crown / Penguin Random House

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 use: Required 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
#book#ai-policy#governance#learning
All gear categoriesDatacenter chip specs (H100, MI300, TPUs)