DagsHub
Manage machine learning data, experiments, and models
Weights & Biases
Track model experiments and evaluate AI applications
Meet Weights & Biases
Weights & Biases records and compares machine learning experiments. Developers log training configuration, metrics, and model artifacts from their code, then inspect runs to see how a change affects the results. Visualizations and reports make those comparisons shareable, while the registry organizes versions of models and datasets with their lineage.
W&B Weave extends the workflow to applications built around language models. It traces calls, retrieval operations, and agent steps so developers can examine what happened during a run. Evaluation and prompt-management tools help compare application behavior across changes, with cost tracking available alongside the traces for deployed AI applications.
Discussion
Tried it? Share a useful thought or ask a question.
Good conversations start with a hello.
Sign in to commentProduct details
- Website
- wandb.ai
- Status
- Launched
- Category
- Developer tools
- Listed
Explore related topics
Similar products
deepsense.ai
Build and operate custom AI systems with specialist engineering teams
ClearML
Manage AI compute, development workflows and model deployment
Polarity
Train specialized models for recurring production workflows
Plurai
Build task-specific evaluators and guardrails for AI agents
Comet
Track experiments and evaluate AI applications