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TPA

[NeurIPS 2025 Spotlight] TPA: Tensor ProducT ATTenTion Transformer (https://arxiv.org/abs/2501.06425)

by tensorgi · GitHub
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deep-learningfoundation-modelslarge-language-modelsMITPython
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Prepare data and evaluate a new type of AI model designed to improve language understanding and processing.

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2026-07-202026-08-31
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📄 About

[NeurIPS 2025 Spotlight] TPA: Tensor ProducT ATTenTion Transformer (https://arxiv.org/abs/2501.06425)

TPA has 460 stars on GitHub. It has been forked 40 times. TPA is written mainly in Python. It has been in active development since 2025. TPA is available under the MIT license. Its main topics are deep-learning, foundation-models, large-language-models, llms.

Frequently asked questions

What is TPA?

[NeurIPS 2025 Spotlight] TPA: Tensor ProducT ATTenTion Transformer (https://arxiv.org/abs/2501.06425)

Is TPA open source?

TPA is an open-source project. It is released under the MIT license.

Is TPA free?

Yes. TPA is free and open source — you can use, modify and self-host it.

What license does TPA use?

TPA is available under the MIT license.

What language is TPA written in?

TPA is written mainly in Python.

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