Weights & Biases (W&B) is the AI developer platform, with tools for training models, fine-tuning models, and leveraging foundation models.
W&B consists of two major components: Models, Weave.
W&B Models is a set of lightweight, interoperable tools for machine learning practitioners training and fine-tuning models
W&B Weave is a lightweight toolkit for tracking and evaluating LLM applications.
Additonally, we offer W&B Core as a set of powerful building blocks for tracking and visualizing data and models, and communicating results to support Models and Weave.
W&B Platform is available in three different deployment options. Please ask W&B about W&B environment if you need more information. If you just want to start to try W&B functionality, please start with W&B Multi-tenant Cloud.
You can take quick start from https://docs.wandb.ai/quickstart!
You can take quick start from https://weave-docs.wandb.ai/!
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For those using WandB on a dedicated cloud or on-premises, please refer to the official documentation and change the environment variable (WANDB_BASE_URL). The most common reason for login issues is often not having this setting configured. Please ask your Admin for the URL.
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https://www.youtube.com/watch?v=tHAFujRhZLA
You can find code examples in github.
You can learn more with the following training in Courses.
https://www.youtube.com/watch?v=tRGoT1QV8VA
You can find some useful sample scripts (cookbook) in https://weave-docs.wandb.ai/reference/gen_notebooks/intro_notebook.
You can learn more with the following training in Courses.
