Weights and Biases
Weights & Biases (W&B) is an AI developer platform for building, evaluating, and monitoring machine-learning models and agentic applications.
About Weights and Biases
Weights & Biases (W&B) is an AI developer platform for building, evaluating, and monitoring machine-learning models and agentic applications. Teams use W&B to track experiments, version datasets and models, optimize runs, run rigorous LLM evaluations, trace/debug agents, add guardrails, and monitor systems in production. Founded in 2017 by Lukas Biewald, Chris Van Pelt, and Shawn Lewis, W&B grew from experiment tracking into an end-to-end MLOps/LLMOps platform used by leading labs and enterprises. In May 2025, W&B was acquired by CoreWeave and continues its mission to build the best tools for AI developers.
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1 AI Tool by Weights and Biases
End-to-end MLOps platform for tracking experiments, managing datasets, and optimizing machine learning and LLM workflows