Hamel Husain
Hamel Husain
The blog’s author draws on experience from roles at Airbnb and GitHub to offer expert commentary on AI engineering challenges, including the mechanics of evaluation systems, effective ML testing strategies, and how to align machine learning practices with real product needs.
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Hamel Husain's Blog is a personal site publishing notes on applied AI engineering, machine learning, and data science. The author is a machine learning engineer with more than 20 years of experience who has worked at Airbnb and GitHub, including early LLM research used by OpenAI for code understanding, and who has led and contributed to open-source machine-learning tools.
The central theme is "evals": helping teams debug, analyze, and measure their AI systems. Long-form posts cover topics such as LLM-as-a-judge evaluation, automated evals, selecting an evals tool, RAG, fine-tuning, LLM latency, tokenization, and tools like nbdev, Axolotl, vLLM, and Inspect AI. The archive stretches back to 2017.
Alongside the writing, the author co-teaches a cohort-based course, AI Evals for Engineers and PMs, which the site says has more than 5,000 students from over 500 companies, and publishes an AI Evals Guide answering common questions. Readers can subscribe to a newsletter or follow updates on X.
Best for
- Engineers building LLM-powered products
- Product managers learning AI evaluation
- Data scientists moving into AI engineering
Pros
- Extensive archive of long-form posts dating back to 2017
- Focused, practical coverage of AI evaluation methods
- Written by an engineer with Airbnb and GitHub experience
- Companion course and evals guide for deeper learning
Cons
- A blog and course rather than a software product
- Course pricing is not stated on the homepage
Pricing
The blog is freely readable; the AI Evals course is promoted with 25% off for enrollment by Oct 24, but no base price is listed.
Hamel Husain FAQ
- What topics does the blog cover?
- It covers applied AI engineering, machine learning, and data science, with a focus on evals for debugging, analyzing, and measuring AI systems.
- Is there a course connected to the blog?
- Yes, the author co-teaches AI Evals for Engineers and PMs, which has over 5,000 students from 500+ companies; upcoming cohorts are listed on its page.
- How can readers follow new posts?
- Readers can subscribe to the newsletter, and the author says X (Twitter) is the best way to follow his activity.
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