Hamel Husain Key Features
In-depth LLM evals and guides
Long-form, practical articles that explain evaluation systems, using LLMs as judges, adversarial validation, and other methods to measure and improve model behavior.
Applied ML engineering tutorials
Step-by-step posts on production ML workflows, debugging, tokenization gotchas, latency optimization, and tools for shipping reliable AI products.
Open-source tooling and resources
Notes, demos, and links to OSS projects and libraries (e.g., Inspect AI, nbsanity, ghapi) that the author has built or recommends for building and evaluating AI systems.
Course & consulting offerings
Access to an instructor-led course (AI Evals for Engineers & PMs) and information on hiring the author for consulting or advisory engagements.
Newsletter and curated updates
Option to subscribe to a newsletter to receive new posts, course announcements, and curated insights about building with LLMs.