W&B Models
Develop AI models
Use W&B Models to manage AI model development. Features include training, fine-tuning, reporting, automating hyperparameter sweeps, and utilizing the model registry for versioning and reproducibility.
• Introduction
• Quickstart
• YouTube Tutorial
• Online Course
• Introduction
• Quickstart
• YouTube Tutorial
• Online Course
W&B Weave
Use AI models in your app
Use W&B Weave to manage AI models in your code. Features include tracing, output evaluation, cost estimates, and a hosted inference service and playground for comparing different large language models (LLMs) and settings.
• Introduction
• Quickstart
• YouTube Demo
• Try the Playground
• Use Weave in your W&B runs
• Introduction
• Quickstart
• YouTube Demo
• Try the Playground
• Use Weave in your W&B runs
W&B Inference
Access foundation models
Use W&B Inference to access leading open-source foundation models through an OpenAI-compatible API. Features include multiple model options, usage tracking, and integration with Weave for tracing and evaluation.
• Introduction
• Available Models
• API Reference
• Try in Playground
• Introduction
• Available Models
• API Reference
• Try in Playground
W&B Training
Post-train your models
Now in public preview, use W&B Training to post-train large language models using serverless reinforcement learning (RL). Features include fully managed GPU infrastructure, integration with ART and RULER, and automatic scaling for multi-turn agentic tasks.
• Introduction
• Prerequisites
• Serverless RL
• API Reference
• Introduction
• Prerequisites
• Serverless RL
• API Reference