Merge pull request THUDM#925 from zRzRzRzRzRzRzR/main

fix OpenVINO Readme Problem

README.md

@@ -82,7 +82,7 @@ Huggingface 更新后一段时间内同步更新。
 * [TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM/tree/main):
   NVIDIA开发的高性能 GPU 加速推理方案，可以参考此 [步骤](./tensorrt_llm_demo/README.md) 部署 ChatGLM3-6B 模型
 * [OpenVINO](https://github.com/OpenVINO-dev-contest/chatglm3.openvino): 
-Intel 开发的高性能 CPU 和 GPU 加速推理方案，可以参考此 [步骤](./openvino_demo/README.md) 部署 ChatGLM3-6B 模型
+Intel 开发的高性能 CPU 和 GPU 加速推理方案，可以参考此 [步骤](./Intel_device_demo/openvino_demo/README.md) 部署 ChatGLM3-6B 模型
 
 高效微调：
 

README_en.md

@@ -63,7 +63,7 @@ Inference acceleration:
 * [chatglm.cpp](https://github.com/li-plus/chatglm.cpp): Real-time inference on your laptop accelerated by quantization, similar to llama.cpp.
 * [ChatGLM3-TPU](https://github.com/sophgo/ChatGLM3-TPU): Using the TPU accelerated inference solution, it runs about 7.5 token/s in real time on the end-side chip BM1684X (16T@FP16, 16G DDR).
 * [TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM/tree/main): A high-performance GPU-accelerated inference solution developed by NVIDIA, you can refer to these [steps](./tensorrt_llm_demo/README.md) to deploy ChatGLM3.
-* [OpenVINO](https://github.com/OpenVINO-dev-contest/chatglm3.openvino): A high-performance CPU and GPU accelerated inference solution developed by Intel, you can refer to this [step](./openvino_demo/README.md) to deploy the ChatGLM3-6B model
+* [OpenVINO](https://github.com/OpenVINO-dev-contest/chatglm3.openvino): A high-performance CPU and GPU accelerated inference solution developed by Intel, you can refer to this [step](./Intel_device_demo/openvino_demo/README.md) to deploy the ChatGLM3-6B model
 
 Efficient fine-tuning:
 * [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory): An excellent, easy-to-use and efficient fine-tuning framework.