Weights & Biases
Description
Weights & Biases (W&B) is a leading AI developer platform that enables data scientists and machine learning engineers to train, fine-tune, and manage AI models throughout the entire lifecycle, from experimentation to production. It provides powerful tools to track, evaluate, and optimize generative AI applications powered by large language models (LLMs), helping teams streamline workflows and improve model performance. W&B Prompts offers a suite of LLMops tools designed to enhance prompt engineering and unlock deeper insights into LLM behavior, while W&B Weave enables the development of agentic AI applications with greater efficiency. The platform seamlessly integrates with popular AI and ML frameworks like LangChain, LlamaIndex, PyTorch, Hugging Face Transformers, Lightning, TensorFlow, Keras, Scikit-Learn, and XGBoost with minimal setup, allowing developers to monitor experiments, manage model versions, automate evaluations, and collaborate effectively, making it an essential tool for building, deploying, and scaling advanced AI solutions.
Features
Experiment tracking and visualization
Hyperparameter optimization (Sweeps)
Model and dataset registry
Artifact versioning and management
Reporting and visualization
SDK for logging experiments and artifacts
Automated workflows
AI application debugging and evaluation
Prompt engineering tools











