W
Frameworks
Weights & Biases
The premier developer-first MLOps platform used to build better models faster through experiment tracking and model registry.
What is Weights & Biases?
Often referred to as W&B, this platform is the industry standard for tracking machine learning experiments. It is used by teams at OpenAI, NVIDIA, and DeepMind to monitor massive model training runs.
Key Features
- Experiment Tracking: Log hyperparameter sweeps, system metrics, and model outputs in real-time beautiful dashboards.
- Model Registry: Manage the complete lifecycle of your ML models from training to production.
- Prompts: Track and evaluate LLM inputs and outputs to build robust generative AI applications.