Update README.md

Author: jimmy.xj

README.md

@@ -19,6 +19,7 @@ DevOps-Eval is a comprehensive evaluation suite specifically designed for founda
 
 
 ## 🔔 News
+* **[2023.10.30]** Add the AIOps Leaderboard.
 * **[2023.10.25]** Add the AIOps samples, including log parsing, time series anomaly detection, time series classification and root cause analysis.
 * **[2023.10.18]** Update the initial Leaderboard...
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@@ -38,7 +39,7 @@ DevOps-Eval is a comprehensive evaluation suite specifically designed for founda
 
 ## 🏆 Leaderboard
 Below are zero-shot and five-shot accuracies from the models that we evaluate in the initial release. We note that five-shot performance is better than zero-shot for many instruction-tuned models.
-### DevOps
+### 👀 DevOps
 #### Zero Shot
 
 |      **ModelName**       | plan  | code  | build |  test  | release  | deploy | operate | monitor  | **AVG** |
@@ -78,7 +79,7 @@ Below are zero-shot and five-shot accuracies from the models that we evaluate in
 | Baichuan2-7B-Chat |  60.61 | 64.95 | 81.19 | 75.88 | 71.23 | 75.69 | 78.36 | 79.17 | 70.49 |
 | Internlm-7B-Base |  62.12 | 65.25 | 77.52 | 80.7 | 74.06 | 78.82 | 79.85 | 75.46 | 69.17 |
 
-### AIOps
+### 🔥 AIOps
 #### Zero Shot
 |    **ModelName**    |  LogParsing  | RootCauseAnalysis  | TimeSeriesAnomalyDetection  | TimeSeriesClassification  | **AVG** |
 |:-------------------:|:------------:|:------------------:|:---------------------------:|:-------------------------:|:-------:|

README_zh.md

@@ -19,6 +19,7 @@ DevOps-Eval是一个专门为DevOps领域大模型设计的综合评估数据集
 
 
 ## 🔔 更新
+* **[2023.10.30]** 增加针对AIOps场景的评测排行榜
 * **[2023.10.25]** 增加AIOps样本，包含日志解析、时序异常检测、时序分类和根因分析
 * **[2023.10.18]** DevOps-Eval发布大模型评测排行版
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@@ -39,7 +40,7 @@ DevOps-Eval是一个专门为DevOps领域大模型设计的综合评估数据集
 ## 🏆 排行榜
 以下是我们获得的初版评测结果，包括多个开源模型的zero-shot和five-shot准确率。我们注意到，对于大多数指令模型来说，five-shot的准确率要优于zero-shot。
 
-### DevOps
+### 👀 DevOps
 #### Zero Shot
 
 | **模型**                 | plan  | code  | build | test  | release | deploy | operate | monitor |  **平均分**  |
@@ -80,7 +81,7 @@ DevOps-Eval是一个专门为DevOps领域大模型设计的综合评估数据集
 | Internlm-7B-Base |  62.12 | 65.25 | 77.52 | 80.7 | 74.06 | 78.82 | 79.85 | 75.46 | 69.17 |
 
 
-### AIOps
+### 🔥 AIOps
 #### Zero Shot
 |    **模型**    | 日志解析  | 根因分析 | 时序异常检测 | 时序分类 | **平均分** |
 |:-------------------:|:-----:|:----:|:------:|:----:|:-------:|