PaddlePALM (PArallel Learning from Multi-tasks) is a flexible, general and easy-to-use NLP large-scale pretraining and multi-task learning friendly framework. PALM is a high level framework aiming at **fastly** develop **high-performance** NLP models.
With PaddlePALM, it is easy to achieve effecient exploration of robust learning of reading comprehension models with multiple auxilary tasks, and the produced model, [D-Net](), achieve **the 1st place** in [EMNLP2019 MRQA](mrqa.github.io) track.
With PaddlePALM, it is easy to achieve effecient exploration of robust learning of reading comprehension models with multiple auxilary tasks, and the produced model, [D-Net](https://github.com/PaddlePaddle/models/tree/develop/PaddleNLP/Research/MRQA2019-D-NET), achieve **the 1st place** in [EMNLP2019 MRQA](https://mrqa.github.io) track.
- PaddlePaddle >= 1.7.0 (Please refer to [this](http://www.paddlepaddle.org/#quick-start) to install)
### Downloading pretrain models
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For more implementation details with `multi_head_trainer`, see
-[ATIS: joint training of dialogue intent recognition and slot filling](https://github.com/PaddlePaddle/PALM/tree/master/examples/multi-task)
-[MRQA: learning reading comprehension auxilarized with mask language model]()(初次发版先不用加)
## License
This tutorial is contributed by [PaddlePaddle](https://github.com/PaddlePaddle/Paddle) and licensed under the [Apache-2.0 license](https://github.com/PaddlePaddle/models/blob/develop/LICENSE).
