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25 changes: 25 additions & 0 deletions Docs/external/index.rst
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.. _external-index:

##################
External resources
##################

.. toctree::
:hidden:

Qualcomm AI Stack <http://www.qualcomm.com/developer/artificial-intelligence#overview>
Qualcomm Hub Models <https://github.com/quic/ai-hub-models/>
Qualcomm Hub Apps <ghttps://ithub.com/quic/ai-hub-apps/>
Qualcomm AI Hub <https://aihub.qualcomm.com/>

`Qualcomm AI Stack <https://www.qualcomm.com/developer/artificial-intelligence#overview>`_
Information for developers about the Qualcomm AI ecosystem.

`Qualcomm Hub Models <https://github.com/quic/ai-hub-models/>`_
A collection of state-of-the-art machine learning models optimized for deployment on Qualcomm® devices.

`Qualcomm Hub Apps <https://github.com/quic/ai-hub-apps/>`_
A collection of sample apps and tutorials to help deploy machine learning models on Qualcomm® devices.

`Qualcomm AI Hub <https://aihub.qualcomm.com/>`_
A platform to optimize, validate, and deploy models to Qualcomm devices.
2 changes: 2 additions & 0 deletions Docs/index.rst
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Expand Up @@ -19,6 +19,8 @@ AIMET Documentation
Example Notebooks <examples/index>
API Reference <apiref/index>
Release Notes <release_notes>
External Resources <external/index>
Glossary <glossary>

The AI Model Efficiency Toolkit (AIMET) is a software toolkit for quantizing and compressing trained models. The primary objective of model optimization is to facilitate its deployment on edge devices like mobile phones or laptops.

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