update readthedocs perf data (#11345)
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					@ -72,11 +72,42 @@ Latest update 🔥
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   * [2023/09] ``ipex-llm`` now supports `Intel GPU <https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU>`_ (including iGPU, Arc, Flex and MAX).
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					   * [2023/09] ``ipex-llm`` now supports `Intel GPU <https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU>`_ (including iGPU, Arc, Flex and MAX).
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   * [2023/09] ``ipex-llm`` `tutorial <https://github.com/intel-analytics/ipex-llm-tutorial>`_ is released.
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					   * [2023/09] ``ipex-llm`` `tutorial <https://github.com/intel-analytics/ipex-llm-tutorial>`_ is released.
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					************************************************
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					``ipex-llm`` Performance
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					************************************************
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					.. raw:: html
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					  <p>
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					      See the <strong>Token Generation Speed</strong> on <em>Intel Core Ultra</em> and <em>Intel Arc GPU</em> below <sup><a href="#footnote-perf" id="ref-perf">[1]</a></sup>
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					       (and refer to <a href=https://www.intel.com/content/www/us/en/developer/articles/technical/accelerate-meta-llama3-with-intel-ai-solutions.html>[2]</a><a href=https://www.intel.com/content/www/us/en/developer/articles/technical/accelerate-microsoft-phi-3-models-intel-ai-soln.htm>[3]</a><a href=https://www.intel.com/content/www/us/en/developer/articles/technical/intel-ai-solutions-accelerate-alibaba-qwen2-llms.html>[4]</a> for more details).
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					  </p>
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					.. raw:: html
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					  <table width="100%">
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					    <tr>
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					      <td>
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					        <a href="https://llm-assets.readthedocs.io/en/latest/_images/MTL_perf.jpg" target="_blank">
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					          <img src="https://llm-assets.readthedocs.io/en/latest/_images/MTL_perf.jpg" width=100%; />
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					        </a>
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					      </td>
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					      <td>
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					        <a href="https://llm-assets.readthedocs.io/en/latest/_images/Arc_perf.jpg" target="_blank">
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					          <img src="https://llm-assets.readthedocs.io/en/latest/_images/Arc_perf.jpg" width=100%; />
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					        </a>
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					      </td>
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					    </tr>
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					  </table>
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					You may follow the `guide <doc/LLM/Quickstart/benchmark_quickstart.html>`_ to run ``ipex-llm`` performance benchmark yourself.
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************************************************
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					************************************************
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``ipex-llm`` Demos
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					``ipex-llm`` Demos
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************************************************
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					************************************************
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See demos of running local LLMs *on Intel Iris iGPU, Intel Core Ultra iGPU, single-card Arc GPU, or multi-card Arc GPUs* using `ipex-llm` below.
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					See demos of running local LLMs *on Intel Iris iGPU, Intel Core Ultra iGPU, single-card Arc GPU, or multi-card Arc GPUs* using ``ipex-llm`` below.
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.. raw:: html
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					.. raw:: html
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