Weights & Biases

Weights & Biases (W&B) is an MLOps platform for experiment tracking, model versioning, and collaboration on machine learning projects. It has expanded to support LLM application development with tools for prompt tracking and evaluation.

Key features include: experiment tracking with rich visualizations, hyperparameter sweeps, model registry, dataset versioning, and collaborative dashboards. For LLM work, W&B Prompts provides prompt versioning, tracing, and evaluation capabilities similar to LangSmith.

For AI engineers, W&B is valuable for: tracking fine-tuning experiments, comparing model configurations, versioning prompts and their results, and team collaboration on AI development. It's particularly established in the ML community for traditional model training and increasingly relevant for LLM application development. Integration is straightforward with most ML frameworks.