Weights & Biases

Weights & Biases offers a robust platform designed for tracking and visualizing machine learning experiments. The platform includes tools for hyperparameter optimization through Sweeps and a Model Registry for managing and registering machine learning models. It supports automated workflows with Automations and enables packaging and running ML workflow jobs with Launch. Weights & Biases also provides Weave for developing and debugging LLM applications and Evaluations for rigorous assessments of GenAI applications. The platform supports versioning and managing ML pipelines with Artifacts and allows visualization and exploration of ML data with Tables. Users can document and share ML insights using Reports. The platform supports a wide range of use cases, including developing, training, and fine-tuning LLMs, computer vision, time series, recommender systems, and classification & regression. Weights & Biases serves various industries such as autonomous vehicles, financial services, scientific research, communications, public sector, healthcare and life sciences, and academic research. It offers deployment options for MLOps for enterprise and teams, and provides a resource library with case studies, whitepapers, articles, and partners. The company hosts a blog, tutorials, events, ML courses, and a podcast called Gradient Dissent. It supports integrations with popular ML frameworks like PyTorch, TensorFlow, Keras, Scikit-Learn, and XGBoost, and offers a community forum and documentation for user support. Weights & Biases also has a bug bounty program to enhance security and supports flexible deployment options, including W&B-managed or self-managed infrastructure. The platform provides tools for building and fine-tuning models and developing GenAI applications with confidence.