This Coursera course teaches supervised machine learning, regression, and classification with Python.
The 100-Page Language Models Book
The Hundred-Page Language Models Book teaches machine learning foundations, transformers, and large language models.
About The 100-Page Language Models Book
The Hundred-Page Language Models Book by Andriy Burkov explains language models starting from machine learning fundamentals, moving from count-based methods through recurrent neural networks to transformers and large language models. Each chapter combines theory, illustrations, and working Python code, with PyTorch implementations on GitHub and Jupyter notebooks.
The large language model chapter covers prompt engineering and finetuning models to follow instructions. All chapters remain available on the website under a read-first, buy-later principle.
Key features
- Step-by-step progression from count-based methods to transformers
- Mathematical foundations with explanations
- Python implementations with PyTorch on GitHub
- Jupyter notebooks for each topic
- Prompt engineering techniques for consistent outputs
- Finetuning models to follow arbitrary instructions
Best for: Technical leaders, engineering managers, software developers, data scientists, and machine learning engineers who work with language models.
Good for
- All chapters remain available on the website
- Includes PyTorch implementations and Jupyter notebooks
- Combines theory, illustrations, and code in each chapter
The 100-Page Language Models Book at a glance
- Website
- thelmbook.com
- Category
- Education & Learning › AI Learning & Guides
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
The 100-Page Language Models Book alternatives
Tools and sites you could use instead, ranked by how closely they match.
Notebooks and code for the book "Introduction to Machine Learning with Python".
Machine Learning Mastery shares guidance for developers learning to apply machine learning.
Normconf is the tech conference about all the stuff that matters in data and machine learning, but doesn.
TutorialSearch searches and compares online tutorials and courses across learning platforms.
Free
24 alternatives
Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
Open source
24 alternativesPopular in AI Learning & Guides
Well-known listings from the same topic.
NN Visualnn-visual.comTutor AItutorai.meAnimated AIanimatedai.github.ioMade With MLmadewithml.comR-bloggersr-bloggers.comShikenshiken.ai
The 100-Page Language Models Book FAQ
Can I read the book on the website before buying?
Yes. All chapters will always remain available on the website under a read-first, buy-later principle.
How do I claim the GPU credits offer?
Purchase the book and email proof of purchase to [email protected] to receive $150 in credits on Lambda.
Do I get a PDF copy when I buy a hard copy?
Yes. When you buy a hard copy, you can request a free PDF copy.
Is something wrong or out of date?
Tell us and an editor will check it.
Own this website?
Claim this listing
Claim the listing and suggest updates yourself. An editor checks every claim first.