Merge pull request THUDM#934 from OpenVINO-dev-contest/patch-1

修改OpenVINO仓库地址

README.md

@@ -81,7 +81,7 @@ Huggingface 更新后一段时间内同步更新。
 * [ChatGLM3-TPU](https://github.com/sophgo/ChatGLM3-TPU): 采用TPU加速推理方案，在算能端侧芯片BM1684X（16T@FP16，内存16G）上实时运行约7.5 token/s
 * [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): 
+* [OpenVINO](https://github.com/openvinotoolkit): 
 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](./Intel_device_demo/openvino_demo/README.md) to deploy the ChatGLM3-6B model
+* [OpenVINO](https://github.com/openvinotoolkit): 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.