[doc] update opt and tutorial links (#2509)

README-zh-Hans.md

@@ -145,7 +145,7 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的
 <img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/OPT_update.png" width=800/>
 
 - [Open Pretrained Transformer (OPT)](https://github.com/facebookresearch/metaseq), 由Meta发布的1750亿语言模型，由于完全公开了预训练参数权重，因此促进了下游任务和应用部署的发展。
-- 加速45%，仅用几行代码以低成本微调OPT。[[样例]](https://github.com/hpcaitech/ColossalAI-Examples/tree/main/language/opt) [[在线推理]](https://service.colossalai.org/opt)
+- 加速45%，仅用几行代码以低成本微调OPT。[[样例]](https://github.com/hpcaitech/ColossalAI-Examples/tree/main/language/opt) [[在线推理]](https://github.com/hpcaitech/ColossalAI-Documentation/blob/main/i18n/zh-Hans/docusaurus-plugin-content-docs/current/advanced_tutorials/opt_service.md)
 
 请访问我们的 [文档](https://www.colossalai.org/) 和 [例程](https://github.com/hpcaitech/ColossalAI-Examples) 以了解详情。
 
@@ -199,7 +199,7 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的
 <img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/OPT_serving.png" width=800/>
 </p>
 
-- [OPT推理服务](https://service.colossalai.org/opt): 无需注册，免费体验1750亿参数OPT在线推理服务
+- [OPT推理服务](https://github.com/hpcaitech/ColossalAI-Documentation/blob/main/i18n/zh-Hans/docusaurus-plugin-content-docs/current/advanced_tutorials/opt_service.md): 无需注册，免费体验1750亿参数OPT在线推理服务
 
 <p id="BLOOM-Inference" align="center">
 <img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/BLOOM%20Inference.PNG" width=800/>
@@ -365,4 +365,6 @@ docker run -ti --gpus all --rm --ipc=host colossalai bash
 }
 ```
 
+Colossal-AI 已被 [SC](https://sc22.supercomputing.org/), [AAAI](https://aaai.org/Conferences/AAAI-23/), [PPoPP](https://ppopp23.sigplan.org/) 等顶级会议录取为官方教程。
+
 <p align="right">(<a href="#top">返回顶端</a>)</p>

README.md

@@ -149,7 +149,7 @@ distributed training and inference in a few lines.
 <img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/OPT_update.png" width=800/>
 
 - [Open Pretrained Transformer (OPT)](https://github.com/facebookresearch/metaseq), a 175-Billion parameter AI language model released by Meta, which stimulates AI programmers to perform various downstream tasks and application deployments because public pretrained model weights.
-- 45% speedup fine-tuning OPT at low cost in lines. [[Example]](https://github.com/hpcaitech/ColossalAI-Examples/tree/main/language/opt) [[Online Serving]](https://service.colossalai.org/opt)
+- 45% speedup fine-tuning OPT at low cost in lines. [[Example]](https://github.com/hpcaitech/ColossalAI-Examples/tree/main/language/opt) [[Online Serving]](https://github.com/hpcaitech/ColossalAI-Documentation/blob/main/i18n/en/docusaurus-plugin-content-docs/current/advanced_tutorials/opt_service.md)
 
 Please visit our [documentation](https://www.colossalai.org/) and [examples](https://github.com/hpcaitech/ColossalAI-Examples) for more details.
 
@@ -202,7 +202,7 @@ Please visit our [documentation](https://www.colossalai.org/) and [examples](htt
 <img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/OPT_serving.png" width=800/>
 </p>
 
-- [OPT Serving](https://service.colossalai.org/opt): Try 175-billion-parameter OPT online services for free, without any registration whatsoever.
+- [OPT Serving](https://github.com/hpcaitech/ColossalAI-Documentation/blob/main/i18n/en/docusaurus-plugin-content-docs/current/advanced_tutorials/opt_service.md): Try 175-billion-parameter OPT online services for free, without any registration whatsoever.
 
 <p id="BLOOM-Inference" align="center">
 <img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/BLOOM%20Inference.PNG" width=800/>
@@ -369,4 +369,6 @@ We leverage the power of [GitHub Actions](https://github.com/features/actions) t
 }
 ```
 
+Colossal-AI has been accepted as official tutorials by top conference [SC](https://sc22.supercomputing.org/), [AAAI](https://aaai.org/Conferences/AAAI-23/), [PPoPP](https://ppopp23.sigplan.org/), etc.
+
 <p align="right">(<a href="#top">back to top</a>)</p>