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Update README.md
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gitnlp authored Oct 12, 2022
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We are hiring at all levels (including FTE researchers and interns)! If you are interested in working with us on NLP and large-scale pre-trained models, please send your resume to <a href="mailto:[email protected]" class="x-hidden-focus">[email protected]</a>.

## AI Fundamentals
### Foundation of Large Models
**OpenScale - Transformers at (any) Scale**
### OpenScale - Transformers at (any) Scale
> Stability - [**DeepNet**](https://github.com/microsoft/unilm/tree/master/deepnet): scaling Transformers to 1,000 Layers and beyond
>Efficiency & Transferability - [**X-MoE**](https://github.com/microsoft/unilm/tree/master/xmoe): scalable & finetunable sparse Mixture-of-Experts (MoE)
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