Update README.md

README.md

@@ -220,7 +220,7 @@ Tell me the weather in Seoul<|im_end|>
 
 ```
 
-- Note that the prompt ends with `assistant/think\n`(think + \n).
+- Note that the prompt ends with `assistant/think\n`(think + `\n`).
 - Generation continues until either the <|stop|> or <|endofturn|> token appears immediately after `<|im_end|>`.
 
 To have the assistant respond in non-reasoning mode (i.e., answer directly), you can input the following prompt.
@@ -232,7 +232,7 @@ Tell me the weather in Seoul<|im_end|>
 
 ```
 
-- Note that the prompt ends with `assistant\n`.
+- Note that the prompt ends with `assistant\n`(assistant + `\n`).
 - Generation continues until either the <|stop|> or <|endofturn|> token appears immediately after `<|im_end|>`.
 
 
@@ -545,7 +545,7 @@ print(tokenizer.batch_decode(output_ids))
 
 ## **vLLM Usage Example**
 
-he HyperCLOVA X SEED Think model is built on a custom LLM architecture based on the LLaMA architecture, incorporating μP and Peri-LN techniques. For convenient use with vLLM, it is available as a dedicated vLLM plugin that can be installed and used with ease once vLLM is set up.
+The HyperCLOVA X SEED Think model is built on a custom LLM architecture based on the LLaMA architecture, incorporating μP and Peri-LN techniques. For convenient use with vLLM, it is available as a dedicated vLLM plugin that can be installed and used with ease once vLLM is set up.
 
 1. Download vLLM plugin source code