Typo Correction

src/display/about.py

@@ -42,7 +42,7 @@ and potential risks of LLMs is crucial.
 ## How it works
 
 This leaderboard is powered by the DecodingTrust platform, which provides comprehensive safety and trustworthiness 
-evaluation for LLMs. More details about the paper, which has won the Outstanding Paper award at NeurIPs’23, 
+evaluation for LLMs. More details about the paper, which has won the Outstanding Paper award at NeurIPS’23, 
 and the platform can be found [here](https://decodingtrust.github.io/).
 
 DecodingTrust aims to provide comprehensive risk and trustworthiness assessment for LLMs. Currently, it includes the 
@@ -67,7 +67,7 @@ Please follow the following instructions to install DecodingTrust
 
 ### (Conda +) Pip
 
-For now, we suggest installing DecodingTrust by cloning our repository and install it in editable mode. This will keep the data, code, and configurations in the same place. 
+For now, we suggest installing DecodingTrust by cloning our repository and installing it in editable mode. This will keep the data, code, and configurations in the same place. 
 
 ```bash
 git clone https://github.com/AI-secure/DecodingTrust.git && cd DecodingTrust
@@ -136,10 +136,10 @@ To run our evaluations, checkout our [tutorial](https://github.com/AI-secure/Dec
 + 🔶 Fine-tuned Model: Pretrained model fine-tuned on more data
 + ⭕ Instruction-tuned Model: Models specifically fine-tuned on datasets with task instructions
 + 🟦 RL-tuned: Models specifically fine-tuned with RLHF or DPO
-+ 🔒 Closed Model: Closed models that do not publish training recipies or model sizes
++ 🔒 Closed Model: Closed models that do not publish training recipes or model sizes
 
 If there is no icon, we have not uploaded the information on the model yet, feel free to open an issue with the model
-information
+information.
 
 ## Changelog
 01/17/24: Add the initial version of the leaderboard