update news (#243)

Co-authored-by: zhangsongyang <zhangsongyang@pjlab.org.cn>

README.md

@@ -29,8 +29,9 @@ Just like a compass guides us on our journey, OpenCompass will guide you through
 
 ## 🚀 What's New <a><img width="35" height="20" src="https://user-images.githubusercontent.com/12782558/212848161-5e783dd6-11e8-4fe0-bbba-39ffb77730be.png"></a>
 
+- **\[2023.08.21\]** [**Lagent**](https://github.com/InternLM/lagent) has been released, which is a lightweight framework for building LLM-based agents. We are working with Lagent team to support the evaluation of general tool-use capability, stay tuned! 🔥🔥🔥.
 - **\[2023.08.18\]** We have supported evaluation for **multi-modality learning**, include **MMBench, SEED-Bench, COCO-Caption, Flickr-30K, OCR-VQA, ScienceQA** and so on. Leaderboard is on the road. Feel free to try multi-modality evaluation with  OpenCompass ! 🔥🔥🔥.
-- **\[2023.08.18\]** [Dataset card](https://opencompass.org.cn/dataset-detail/MMLU) is now online. Welcome new evaluation benchmark  OpenCompass ! 🔥🔥🔥.
+- **\[2023.08.18\]** [Dataset card](https://opencompass.org.cn/dataset-detail/MMLU) is now online. Welcome new evaluation benchmark  OpenCompass !
 - **\[2023.08.11\]** [Model comparison](https://opencompass.org.cn/model-compare/GPT-4,ChatGPT,LLaMA-2-70B,LLaMA-65B) is now online. We hope this feature offers deeper insights!
 - **\[2023.08.11\]** We have supported [LEval](https://github.com/OpenLMLab/LEval).
 - **\[2023.08.10\]** OpenCompass is compatible with [LMDeploy](https://github.com/InternLM/lmdeploy). Now you can follow this [instruction](https://opencompass.readthedocs.io/en/latest/advanced_guides/evaluation_turbomind.html#) to evaluate the accelerated models provide by the **Turbomind**.

README_zh-CN.md

@@ -29,10 +29,11 @@
 
 ## 🚀 最新进展 <a><img width="35" height="20" src="https://user-images.githubusercontent.com/12782558/212848161-5e783dd6-11e8-4fe0-bbba-39ffb77730be.png"></a>
 
+- **\[2023.08.21\]** [**Lagent**](https://github.com/InternLM/lagent) 正式发布，它是一个轻量级、开源的基于大语言模型的智能体（agent）框架。我们正与Lagent团队紧密合作，推进支持基于Lagent的大模型工具能力评测 ! 🔥🔥🔥.
 - **\[2023.08.18\]** OpenCompass现已支持**多模态评测**，支持10+多模态评测数据集，包括 **MMBench, SEED-Bench, COCO-Caption, Flickr-30K, OCR-VQA, ScienceQA** 等. 多模态评测榜单即将上线，敬请! 🔥🔥🔥.
-- **\[2023.08.18\]** [数据集页面](https://opencompass.org.cn/dataset-detail/MMLU) 现已在OpenCompass官网上线，欢迎更多社区评测数据集加入OpenCompass ! 🔥🔥🔥.
-- **\[2023.08.11\]** 官网榜单上新增了[模型对比](https://opencompass.org.cn/model-compare/GPT-4,ChatGPT,LLaMA-2-70B,LLaMA-65B)功能，希望该功能可以协助提供更多发现！🔥🔥🔥.
-- **\[2023.08.11\]** 新增了 [LEval](https://github.com/OpenLMLab/LEval) 评测支持. 🔥🔥🔥.
+- **\[2023.08.18\]** [数据集页面](https://opencompass.org.cn/dataset-detail/MMLU) 现已在OpenCompass官网上线，欢迎更多社区评测数据集加入OpenCompass !
+- **\[2023.08.11\]** 官网榜单上新增了[模型对比](https://opencompass.org.cn/model-compare/GPT-4,ChatGPT,LLaMA-2-70B,LLaMA-65B)功能，希望该功能可以协助提供更多发现！
+- **\[2023.08.11\]** 新增了 [LEval](https://github.com/OpenLMLab/LEval) 评测支持.
 - **\[2023.08.10\]** OpenCompass 现已适配 [LMDeploy](https://github.com/InternLM/lmdeploy). 请参考 [评测指南](https://opencompass.readthedocs.io/zh_CN/latest/advanced_guides/evaluation_turbomind.html) 对 **Turbomind** 加速后的模型进行评估.
 - **\[2023.08.10\]**  [Qwen-7B](https://github.com/QwenLM/Qwen-7B) 和 [XVERSE-13B](https://github.com/xverse-ai/XVERSE-13B)的评测结果已更新在 OpenCompass [大语言模型评测榜单](https://opencompass.org.cn/leaderboard-llm)!
 - **\[2023.08.09\]** 更新更多评测数据集(**CMMLU, TydiQA, SQuAD2.0, DROP**) ，请登录 [大语言模型评测榜单](https://opencompass.org.cn/leaderboard-llm) 查看更多结果! 欢迎添加你的评测数据集到OpenCompass.