#python

Tunix is an open-source library built on JAX that helps you easily improve large language models after their initial training. It supports fine-tuning with supervised learning, reinforcement learning, and knowledge distillation, making models more accurate and better aligned with user needs. Tunix works efficiently on TPUs and integrates well with JAX tools, allowing you to customize training and scale across devices. It simplifies complex steps like preference tuning by removing the need for separate reward models. Using Tunix, you can tailor AI models for specific tasks, improving their reasoning, accuracy, and response quality for practical applications in fields like healthcare and finance.

https://github.com/google/tunix