Weights & Biases

Weights & Biases (Forge) — Technical Use Cases

• Experiment management at scale: Log and compare hundreds of training runs across hyperparameter sweeps; reproduce any experiment from stored artifacts and configs.
• LLM & model fine-tuning: Use Serverless SFT and Serverless RL to fine-tune foundation models without provisioning GPU infrastructure — backed by CoreWeave Cloud and NVIDIA GPUs.
• Agent development & evaluation: Build and evaluate agent workflows using Agent Lens for tracing, Sandboxes for isolated testing, and ARIA for in-platform assistance.
• Model governance & lineage: Use the Registry to track model versions, manage promotion workflows, and maintain audit-ready lineage records — critical for Enterprise and HIPAA-regulated environments.
• Production AI observability: Instrument deployed AI applications with Agent Lens to trace execution paths, monitor outputs, and detect regressions.
• CI/CD-integrated ML pipelines: Embed training, evaluation, and deployment steps into CI/CD workflows with native integration support and Slack/email alerting for pipeline events.
• Team-based ML development: Enforce access controls and collaborate across unlimited teams (Pro and above) with shared experiment dashboards and model registries.