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intel-analytics · Jun 3, 2024 · dd11295 · dd11295
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diff --git a/docs/docs/integrations/llms/ipex_llm.ipynb b/docs/docs/integrations/llms/ipex_llm.ipynb
@@ -4,11 +4,11 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# IPEX-LLM\n",
+    "# IPEX-LLM on Intel CPU\n",
     "\n",
     "> [IPEX-LLM](https://github.com/intel-analytics/ipex-llm/) is a PyTorch library for running LLM on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max) with very low latency. \n",
     "\n",
-    "This example goes over how to use LangChain to interact with `ipex-llm` for text generation. \n"
+    "This example goes over how to use LangChain to interact with `ipex-llm` for text generation on Intel CPU.\n"
    ]
   },
   {

diff --git a/docs/docs/integrations/llms/ipex_llm_gpu.ipynb b/docs/docs/integrations/llms/ipex_llm_gpu.ipynb
@@ -8,7 +8,7 @@
     "\n",
     "> [IPEX-LLM](https://github.com/intel-analytics/ipex-llm) is a PyTorch library for running LLM on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max) with very low latency.\n",
     "\n",
-    "This example goes over how to use LangChain to interact with `ipex-llm` for text generation. \n",
+    "This example goes over how to use LangChain to interact with `ipex-llm` for text generation on Intel GPU. \n",
     "\n",
     "> **Note**\n",
     ">\n",