#AI feedback

Distilabel is a framework for creating synthetic data and obtaining AI feedback, serving those developing NLP and LLM projects. It facilitates the creation of high-quality, varied datasets using established research techniques. The framework allows engineers to concentrate on enhancing data quality and controlling model tuning, integrating feedback across LLM providers with a single API. As an open-source, community-supported project, Distilabel ensures scalable and adaptable data generation pipelines to enhance the efficiency and quality of AI development.

KaTrain offers AI-assisted game analysis and immediate feedback using KataGo, allowing players to detect strategic errors and practice with varying AI levels. The tool supports detailed SGF review generation, tracks progress, and is easy to set up on different operating systems. Suitable for both beginners and advanced players, it also allows contributions to KataGo's distributed training for enhancing global AI capabilities in Go.