[Docs] Update the vesion information of the documents (#2323)

Co-authored-by: RiverLiu <river.liu@intel.com>

Author: 2 people

README.md

@@ -110,6 +110,9 @@ This project is intended to be a safe, welcoming space for collaboration, and co
 - [TensorFlow GPU device plugins](https://www.tensorflow.org/install/gpu_plugins)
 - [Accelerating TensorFlow on Intel® Data Center GPU Flex Series](https://blog.tensorflow.org/2022/10/accelerating-tensorflow-on-intel-data-center-gpu-flex-series.html)
 - [Meet the Innovation of Intel AI Software: Intel® Extension for TensorFlow*](https://cqpreview.intel.com/content/www/us/en/developer/articles/technical/innovation-of-ai-software-extension-tensorflow.html)
+- [An Easy Introduction to Intel® Extension for TensorFlow*](https://www.intel.com/content/www/us/en/developer/articles/technical/introduction-to-intel-extension-for-tensorflow.html)
+- [Accelerate JAX models on Intel GPUs via PJRT](https://opensource.googleblog.com/2023/06/accelerate-jax-models-on-intel-gpus-via-pjrt.html)
+- [Running TensorFlow Stable Diffusion on Intel Arc GPUs](https://medium.com/intel-analytics-software/running-tensorflow-stable-diffusion-on-intel-arc-gpus-e6ff0d2b7549)
 
 ## Support
 Submit your questions, feature requests, and bug reports on the [GitHub issues](https://github.com/intel/intel-extension-for-tensorflow/issues) page.

docs/install/experimental/install_for_gpu_conda.md

@@ -1,6 +1,6 @@
 # Conda Environment Installation Instructions
 
-This document provides a recommended installation instruction for Intel® Extension for TensorFlow* v1.2.0 and Intel® Optimization for Horovod* v0.5.0 deployment for distributed training on Conda environment.    
+This document provides a recommended installation instruction for Intel® Extension for TensorFlow* v2.13.0.0 and Intel® Optimization for Horovod* v0.28.1.0 deployment for distributed training on Conda environment.
 
 ## Preconditions
 We assume you have installed the Intel GPU driver and the required components of oneAPI Base Toolkit Packages as per [instructions](../install_for_xpu.md#install_oneapi_base_toolkit_packages) successfully.
@@ -57,10 +57,10 @@ python3 -c "import intel_extension_for_tensorflow as itex; print(itex.version.GI
 ```
 Expected result:
 ```
-v1.2.0-8e0294ba
+v2.13.0.0-142f5f29
 ```
 
-In order to install Intel® Optimization for Horovod* v0.5.0 for distributed training, you should install oneCCL after you install oneAPI Basekit.
+In order to install Intel® Optimization for Horovod* v0.28.1.0 for distributed training, you should install oneCCL after you install oneAPI Basekit.
 
 ```
 source /path/to/intel/oneapi/mpi/latest/env/vars.sh

examples/quantize_inception_v3/README.md

@@ -24,7 +24,7 @@ The example shows an end-to-end pipeline:
 
 ### Intel® Extension for Tensorflow* Version
 
-Install Intel® Extension for Tensorflow* > 2.13.0 for this feature.
+Install Intel® Extension for Tensorflow* >= 2.13.0.0 for this feature.
 
 ### Enable oneDNN Graph
 

examples/train_resnet50_with_autoshard/README.md

@@ -13,7 +13,7 @@ Verified Hardware Platforms:
 
 ## Prerequisites
 
-This example only applies to stock TensorFlow* >=2.13.0 and Intel® Extension for TensorFlow* >=1.2.0. 
+This example only applies to stock TensorFlow* >=2.13.0 and Intel® Extension for TensorFlow* >=2.13.0.0.
 
 ### Prepare the Codes
 ```bash