diff --git a/README.md b/README.md
index 259dbd54..f3e02023 100644
--- a/README.md
+++ b/README.md
@@ -16,7 +16,7 @@ _**Fast, Distributed, Secure AI for Big Data**_
             <img src="https://github.com/bigdl-project/bigdl-project.github.io/blob/master/assets/llm-models3.png" width='76%'/>
 </p>
 
-- **[Update] `bigdl-llm` now supports Intel Arc or Flex GPU; see the the latest GPU examples [here](https://github.com/jason-dai/BigDL/tree/main/python/llm/example/gpu).**
+- **[Update] `bigdl-llm` now supports Intel Arc or Flex GPU; see the the latest GPU examples [here](python/llm/example/gpu).**
 
 - **Over a dozen models have been verified on [`bigdl-llm`](python/llm)**, including *LLaMA/LLaMA2, ChatGLM/ChatGLM2, MPT, Falcon, Dolly-v1/Dolly-v2, StarCoder, Whisper, QWen, Baichuan,* and more; see the complete list [here](python/llm/README.md#verified-models).
 
diff --git a/python/llm/README.md b/python/llm/README.md
index 7e3e98a7..ee0069aa 100644
--- a/python/llm/README.md
+++ b/python/llm/README.md
@@ -5,7 +5,7 @@
 > *It is built on top of the excellent work of [llama.cpp](https://github.com/ggerganov/llama.cpp), [gptq](https://github.com/IST-DASLab/gptq), [ggml](https://github.com/ggerganov/ggml), [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), [bitsandbytes](https://github.com/TimDettmers/bitsandbytes), [qlora](https://github.com/artidoro/qlora), [gptq_for_llama](https://github.com/qwopqwop200/GPTQ-for-LLaMa), [chatglm.cpp](https://github.com/li-plus/chatglm.cpp), [redpajama.cpp](https://github.com/togethercomputer/redpajama.cpp), [gptneox.cpp](https://github.com/byroneverson/gptneox.cpp), [bloomz.cpp](https://github.com/NouamaneTazi/bloomz.cpp/), etc.*
 
 ### Latest update
- - `bigdl-llm` now supports Intel Arc or Flex GPU; see the the latest GPU examples [here](https://github.com/jason-dai/BigDL/tree/main/python/llm/example/gpu).
+ - `bigdl-llm` now supports Intel Arc or Flex GPU; see the the latest GPU examples [here](example/gpu).
     
 ### Demos
 See the ***optimized performance*** of `chatglm2-6b`, `llama-2-13b-chat`, and `starcoder-15b` models on a 12th Gen Intel Core CPU below.
diff --git a/python/llm/example/gpu/README.md b/python/llm/example/gpu/README.md
index d5c4dff3..ade44908 100644
--- a/python/llm/example/gpu/README.md
+++ b/python/llm/example/gpu/README.md
@@ -11,7 +11,8 @@ To apply Intel GPU acceleration, there’re several steps for tools installation
 
 Step 1, only Linux system is supported now, Ubuntu 22.04 is prefered.
 
-Step 2, please refer to our [drive installation](https://dgpu-docs.intel.com/driver/installation.html) for general purpose GPU capabilities.
+Step 2, please refer to our [driver installation](https://dgpu-docs.intel.com/driver/installation.html) for general purpose GPU capabilities.
+> **Note**: IPEX 2.0.110+xpu requires Intel GPU Driver version is [Stable 647.21](https://dgpu-docs.intel.com/releases/stable_647_21_20230714.html).
 
 Step 3, you also need to download and install [Intel® oneAPI Base Toolkit](https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit-download.html). OneMKL and DPC++ compiler are needed, others are optional.
 > **Note**: IPEX 2.0.110+xpu requires Intel® oneAPI Base Toolkit's version >= 2023.2.0.