In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...

This project provides a minimal, easy-to-understand codebase for fine-tuning Large Language Models. Our core philosophy is to explain complex optimization techniques with the simplest possible code.

This guide assumes that the project is being built on Linux* but equivalent steps can be performed on any other operating system. cmake path/to/repo/root && cmake --build . To run the tests, proceed ...