ML experiment tracking and LLM observability
Weights & Biases (W&B) is a platform for tracking ML experiments, visualizing results, and collaborating on AI projects. Log metrics, hyperparameters, and artifacts during training. Compare runs with interactive dashboards. The Weave product adds LLM tracing, evaluations, and production monitoring for AI applications. Includes experiment tracking, hyperparameter sweeps, model registry, dataset versioning, and collaborative reports. Used by OpenAI, Microsoft, and Toyota for ML projects. SOC 2 Type II compliant. Free forever for academic research with up to 100 seats and 200GB storage.
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