About
Weights & Biases helps AI developers build better models faster. Quickly track experiments, version and iterate on datasets, evaluate model performance, reproduce models, and manage your ML workflows end-to-end.
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The AI Developer Platform for MLOps and LLMOps
See why hundreds of thousands of ML practitioners at the world's biggest companies and most cutting-edge AI startups rely on Weights & Biases to facilitate high standards of MLOps and LLMops across the entire ML workflow. Watch this overview to see how the W&B platform serves as a system of record, boosts productivity and collaboration, facilitates better model evaluation and deployment, and so much more!
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Project Page
A project workspace is your personal sandbox for comparing experiments. Use projects to organize your models so you can compare models that tackle the same problem with different architectures, hyperparameters, datasets, preprocessing, and more.
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Track Experiments
Track machine learning experiments with a few lines of code. You can then review the results in an interactive dashboard or export your data to Python for programmatic access using our Public API.
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W&B Sweeps
Use W&B Sweeps to automate hyperparameter search and visualize rich, interactive experiment tracking. Pick from popular search methods such as Bayesian, grid search, and random to search the hyperparameter space. Scale and parallelize sweep across one or more machines.
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Visualize & analyze tables
Customize your W&B Tables to answer questions about your machine learning model's performance, analyze your data, and more. Interactively explore your data to: Compare changes precisely across models, epochs, or individual examples Understand higher-level patterns in your data Capture and communicate your insights with visual samples