AN ENGINEER'S GUIDE TO AI CODE MODEL EVALS

Summary from the TLDR newsletter

A crucial part of the process of improving a coding-capable AI model is evaluation (evals). Evals are structured tests or benchmarks used to measure model performance on specific tasks. They are analogous to unit tests or integration tests in software. This post explores what evals are, how they're constructed, what 'hill climbing' means in model development, and how all these pieces connect to the continuous training and improvement of coding models.