Audience

AI developers interested in a powerful large language model

About PanGu-α

PanGu-α is developed under the MindSpore and trained on a cluster of 2048 Ascend 910 AI processors. The training parallelism strategy is implemented based on MindSpore Auto-parallel, which composes five parallelism dimensions to scale the training task to 2048 processors efficiently, including data parallelism, op-level model parallelism, pipeline model parallelism, optimizer model parallelism and rematerialization. To enhance the generalization ability of PanGu-α, we collect 1.1TB high-quality Chinese data from a wide range of domains to pretrain the model. We empirically test the generation ability of PanGu-α in various scenarios including text summarization, question answering, dialogue generation, etc. Moreover, we investigate the effect of model scales on the few-shot performances across a broad range of Chinese NLP tasks. The experimental results demonstrate the superior capabilities of PanGu-α in performing various tasks under few-shot or zero-shot settings.

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Company Information

Huawei
Founded: 1987
China
arxiv.org/abs/2104.12369

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Product Details

Platforms Supported
Cloud
Windows
Mac
Linux
On-Premises
Training
Documentation

PanGu-α Frequently Asked Questions

Q: What kinds of users and organization types does PanGu-α work with?
Q: What languages does PanGu-α support in their product?
Q: What type of training does PanGu-α provide?

PanGu-α Product Features