Weights & Biases is a widely used MLOps platform for experiment tracking, model management and evaluating AI applications.
What it does
Weights & Biases (W&B) is a developer platform used by machine learning teams to track experiments, manage datasets and models, and monitor and evaluate AI applications including LLM-based ones, throughout the model development lifecycle.
How to use: Use W&B to track ML experiments, build AI models, and build agentic AI applications. Integrate with Langchain, LlamaIndex, PyTorch, HF Transformers, Lightning, TensorFlow, Keras, Scikit-LEARN, and XGBoost with one line of code.
Core features
Best for
Reviews
Big-picture takes: what it's for and whether it delivers. High-engagement YouTube videos — not sponsored.
Tutorials
Step-by-step: exactly how to get things done with it.