Weights & Biases

Thousands of companies rely on Weights & Biases as their system of record for training AI models and developing AI applications with confidence, thanks to its comprehensive platform that includes features such as experiment tracking, hyperparameter optimization, and data visualization. The platform supports a wide range of models, including OpenAI OSS GPT, Meta Llama, and Microsoft Phi, allowing users to fine-tune and train large language models without managing GPUs. Weights & Biases also offers a serverless reinforcement learning framework, automated reward functions, and a core registry to publish and share AI models and datasets. Additionally, the platform provides a suite of tools for evaluating and debugging AI applications, including trace exploration and rigorous evaluations. One notable gap in the platform is the lack of native support for certain edge cases in computer vision, which may require additional customization. Despite this, Weights & Biases has been successfully used by companies such as Canva, Microsoft, and Toyota to deploy models, fine-tune LLMs, and train AI models for autonomous driving. The platform's versatility and scalability have made it a popular choice among industries such as financial services, healthcare, and scientific research, with a wide range of use cases, from quant trading to physical AI and RAG train LLMs.