Ulysses Sequence Parallelism: Training with Million-Token Contexts

Training a coding model to paint watercolours with TRL and OpenEnv

How an MIT research project became a global programming language

With millions of users across the world, Julia has been used to conduct cutting-edge research and to design new drugs, jet engines, heat pumps, and more.

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

Training and Finetuning Multi-Vector Embedding Models with Sentence Transformers

We’re on a journey to advance and democratize artificial intelligence through open source and open science.