Whether it’s OpenAI, Cohere, or open-source projects like EleutherAI, cutting-edge large language models are built on Weight & Biases. Our platform enables collaboration across teams performing the complex, expensive work required to train and push these models to production, logging key metrics, versioning datasets, enabling knowledge sharing, sweeping through hyperparameters, and a whole lot more. LLM training is complex and nuanced, and having a shared source of truth throughout the lifecycle of a model is vital for avoiding common pitfalls and understanding performance every step of the way.

We’d like to also send a hearty thanks to OpenAI, DeepMind, Meta, and Google Brain. We referenced their research and breakthroughs frequently in this white paper, and their contributions to the space are already invaluable.

If you’re interested in learning more about how W&B can help, please reach out and we’ll schedule some time. And if you have any feedback, we’d love to hear those too.