Hamel.dev’s long-form posts tackle substantial problems in AI engineering, such as why generic metrics fail, how to build custom eval tools, and how to interpret model traces for debugging and improvement.
This blog serves as a professional journal for advanced AI exploration, where the author discusses evaluation systems for LLMs, large machine learning projects, and data science workflows. Posts combine conceptual clarity with implementation advice, making them valuable for both practitioners and learners navigating the realities of applied AI engineering.
We send new OSS products every week in a new newsletter. No Spam.
Approximately, we add new tools within three months.
We will publish it with a no-follow link.
However, you can publish your tool immediately and get a forever do-follow link.
See you soon.
