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title: README
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<p align="center">
<a href="https://while.ai"><img src="https://huggingface.co/spaces/while-ai/README/resolve/main/banner-wai.png" alt="wai, the While whale. Models improve while they work." width="720"></a>
</p>
<p align="center"><code>MID-TRAINING AND POST-TRAINING FOR LANGUAGE MODELS</code></p>
**Models improve while they work.** A scientific RL and SFT post-training library.
While is the mid-training and post-training platform for language models. Open models, the latest SFT and RL algorithms, and an open-source SDK that builds and optimizes datasets from production traces. Every gain is measured on a held-out set.
Everything here was made with the SDK and published with the numbers behind it. A model ships when it beats its base on a held-out set with an interval that clears zero. If it does not, it does not ship.
```bash
pip install whileai
```
```python
import whileai as wai
```
wai is While's whale and the alias of the whileai SDK.
[Docs](https://docs.withwhile.com) | [Platform](https://while.ai) | [SDK](https://github.com/whilehq/whileai-sdk) | [Recipes](https://github.com/whilehq/whileai-sdk/tree/main/recipes)
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