Designed to help developers and machine learning teams accelerate their MLOps workflows, the site highlights practical examples across areas such as fine-tuning, computer vision, and large language model evaluation. Its projects offer opportunities to explore real-world implementations and experiment with W&B tools.

Featured experiences include WeaveDraw, an AI-powered drawing challenge where users create target shapes from prompts, manage token use, and compete on a live leaderboard. The Weave Inference Playground lets visitors test models and inference strategies in an interactive environment. The W&B MCP Server demonstrates how to connect W&B APIs with modern agentic systems through the Model Context Protocol. Visitors can also explore W&B’s open-source projects and contribute through its GitHub presence. Built for the W&B community, withwandb.com connects hands-on learning, experimentation, and reusable development resources, and directs visitors to the official Weights & Biases website for more information about the platform.