Summary

The Allen Institute for Artificial Intelligence (Ai2) has released Tülu 3, an open-source family of post-trained language models. Unlike closed models from companies like OpenAI, Tülu 3's training data, methods, and code are publicly available, allowing researchers to replicate and build upon the work. This release aims to bridge the performance gap between open and closed models by providing comprehensive tools and datasets for post-training, including techniques for improving model safety and capabilities without losing general abilities. The project includes various model sizes, a user-friendly evaluation framework, and detailed documentation to aid researchers. Ai2's goal is to foster collaboration and innovation in open-source language model development.

ai , llm, allenai, artificial intelligence , arxiv , research , paper , publication