Weights & Biases

Weights & Biases (Forge) — Documentation & Integration Notes

Weights & Biases (Forge) is designed to integrate into existing ML workflows with minimal friction. Key technical touchpoints include:

• Experiment tracking: Instrument training scripts to log metrics, hyperparameters, and artifacts; compare runs across experiments for reproducibility.
• Agent Lens: Tracing and observability layer for AI applications and agent pipelines — monitor execution flows, inputs/outputs, and performance.
• Registry: Manage model versions and lineage centrally; supports governance workflows for model promotion and auditing.
• Serverless SFT & RL: Trigger fine-tuning (supervised or reinforcement learning) jobs serverlessly — no infrastructure provisioning required.
• Serverless & Dedicated Inference: Expose trained models via inference endpoints; choose between serverless (on-demand) or dedicated (reserved) compute.
• Sandboxes & Notebooks: Integrated development environments for prototyping and agent evaluation.
• ARIA: Integrated AI assistant/tooling within the platform.
• CI/CD integration: Hook into existing CI/CD pipelines for automated training, evaluation, and deployment workflows.
• Slack & email alerts: Configure notifications for run completions, failures, or threshold breaches.
• Infrastructure: Runs on CoreWeave Cloud with NVIDIA GPU support.
• Enterprise controls: HIPAA compliance, SSO, audit logs, and granular access controls available at the Enterprise tier.