Weights & Biases

• Record model-training experiments. The wandb integration logs configuration such as learning rate or dropout alongside metrics from a training run. This gives teams a persistent record of what was executed and how it performed, making comparison more reliable than informal notes or isolated terminal output.
• Compare and inspect run behavior. Logged metrics and model information help developers investigate changes across experiments and follow long-running training. The official integration examples include monitoring parameters and gradients, providing context for diagnosing a run rather than looking only at its final aggregate score.
• Integrate with common ML frameworks. The official site shows workflows for PyTorch, Hugging Face Transformers, Lightning, TensorFlow, Keras, scikit-learn and XGBoost. Existing training code can report to the platform through the relevant integration instead of requiring teams to rebuild their model pipeline around a new interface.
• Trace LLM applications with Weave. Initializing Weave and marking operations records execution information for the generative-AI portion of an application. Developers can inspect model calls, retrieval and agent steps, connecting an observed answer to the sequence of operations that produced it.
• Work with agent and retrieval libraries. Weave integrations are illustrated with OpenAI, LangChain and LlamaIndex. This helps teams add observability to familiar application structures and investigate behavior across their chain or agent, while still deciding which inputs and outputs are appropriate to log.
• Share monitoring with an operational team. The platform is presented for team AI development and describes enterprise deployment and compliance options, with a mobile app for monitoring experiments. Match collaboration, data controls and the current product packaging to your organization before sending sensitive training data or application traces.

Check before you buyThe official site now points model, training and inference products toward CoreWeave Forge. Verify current packaging and deployment terms. Traces can contain sensitive prompts or data; set logging, access and retention deliberately.

Official sources · checked 2026-10-02Official AI developer platform and integrations ↗