Hamel.dev — Deep dives into LLMs, evals, and ML practice

A deeply technical blog aimed at engineers and AI builders‚ hamel.dev explores practical questions around large language models‚ including how to evaluate AI quality‚ develop trustworthy test systems‚ debug model errors‚ and drive real improvements in deployed systems. Posts mix theoretical discussion with tangible engineering advice and domain examples that illustrate key concepts in machine learning and data science.

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