[doc][improve] add benchmark summary to intro (#398)

* [doc][improve] add benchmark summary to intro

* Update README.md

Author: Anonymitaet

README.md

@@ -106,12 +106,12 @@
 - 🤖 The Yi series models are the next generation of open-source large language models trained from scratch by [01.AI](https://01.ai/).
 
 - 🙌 Targeted as a bilingual language model and trained on 3T multilingual corpus, the Yi series models become one of the strongest LLM worldwide, showing promise in language understanding, commonsense reasoning, reading comprehension, and more. For example,
-
-  - For English language capability, the Yi series models ranked 2nd (just behind GPT-4), outperforming other LLMs (such as Llama2-chat-70B, Claude 2, and ChatGPT) on the [AlpacaEval Leaderboard](https://tatsu-lab.github.io/alpaca_eval/) in Dec 2023.
 
-  - For Chinese language capability, the Yi series models landed in 2nd place (following GPT-4), surpassing other LLMs (such as Baidu ERNIE, Qwen, and Baichuan) on the [SuperCLUE](https://www.superclueai.com/) in Oct 2023.
+  - Yi-34B-Chat model **landed in second place (following GPT-4 Turbo)**, outperforming other LLMs (such as GPT-4, Mixtral, Claude) on the AlpacaEval Leaderboard (based on data available up to January 2024).
+ 
+  - Yi-34B model **ranked first among all existing open-source models** (such as Falcon-180B, Llama-70B, Claude) in **both English and Chinese** on various benchmarks, including Hugging Face Open LLM Leaderboard (pre-trained) and C-Eval (based on data available up to November 2023).
 
-  - 🙏 (Credits to Llama) Thanks to the Transformer and Llama open-source communities, as they reducing the efforts required to build from scratch and enabling the utilization of the same tools within the AI ecosystem.  
+  - 🙏 (Credits to Llama) Thanks to the Transformer and Llama open-source communities, as they reduce the efforts required to build from scratch and enable the utilization of the same tools within the AI ecosystem.  
 
   <details style="display: inline;"><summary> If you're interested in Yi's adoption of Llama architecture and license usage policy, see  <span style="color:  green;">Yi's relation with Llama.</span> ⬇️</summary> <ul> <br>