> ## Documentation Index
> Fetch the complete documentation index at: https://wb-21fd5541-docs-1778-mysql-updates.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# W&B Training

> Post-train your models using reinforcement learning

Now in public preview, W\&B Training offers serverless reinforcement learning (RL) for post-training large language models (LLMs) to improve their reliability performing multi-turn, agentic tasks while also increasing speed and reducing costs. RL is a training technique where models learn to improve their behavior through feedback on their outputs.

W\&B Training includes integration with:

* [ART](https://art.openpipe.ai/getting-started/about), a flexible RL fine-tuning framework.
* [RULER](https://openpipe.ai/blog/ruler), a universal verifier.
* A fully-managed backend on [CoreWeave Cloud](https://docs.coreweave.com/docs/platform).

To get started, satisfy the [prerequisites](/training/prerequisites) to start using the service and then see [OpenPipe's Serverless RL quickstart](https://art.openpipe.ai/getting-started/quick-start) to learn how to post-train your models.