AltHub

chiphuyen/aie-book Alternatives

AI engineering education/resources

Repository with resources and supporting materials for Chip Huyen's book 'AI Engineering' (2025), covering end-to-end adaptation of foundation models to real-world problems.

17.5kJupyter Notebookno licenseactive · last push 3mo agoGitHub

Same job, different approach

Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.

patchy631/ai-engineering-hubGitHub

Choose it when you prefer free, hands-on tutorials over a book-centric companion.

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

37.5k
Jupyter Notebook
MIT
active1mo ago
stas00/ml-engineeringGitHub

Choose it when your focus is training and debugging large models rather than building applications with foundation models.

Machine Learning Engineering Open Book

18.7k
Python
CC-BY-SA-4.0
active2mo ago

Older generation, or narrower

An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.

ombharatiya/ai-system-design-guideGitHub

Choose it when you need a concise system-design and evals checklist rather than a broad book.

AI system design guide for engineers building production AI systems and evals.

2.9k
MIT
active2mo ago
ZJU-LLMs/Foundations-of-LLMsGitHub

Choose it when you want the mathematical and architectural foundations of LLMs instead of application engineering.

A book for Learning the Foundations of LLMs

18.0k
NOASSERTION
slowing10mo ago
huggingface/agents-courseGitHub

Choose it for a hands-on course on building agents, a narrower slice of AI engineering.

This repository contains the Hugging Face Agents Course.

31.3k
MDX
Apache-2.0
active4mo ago
skyzh/tiny-llmGitHub

Choose it to learn LLM inference systems by building a minimal one, for systems engineers.

learn LLM inference system on Apple Silicon for systems engineers: build a tiny vLLM + Qwen

4.6k
Python
Apache-2.0
active23d ago

Listed as an alternative to

These projects were analysed and named aie-book among their alternatives. The relationship is not symmetric — how aie-book rates them is a separate judgement, made when aie-book is analysed in its own right.

stas00/ml-engineeringGitHub

calls aie-book “For engineers wanting a broader, product-oriented AI engineering book instead of a training-focused command cookbook.”

Machine Learning Engineering Open Book

18.7kPythonactive