diff --git a/README.md b/README.md
index 005a60d..fb75546 100644
--- a/README.md
+++ b/README.md
@@ -1,16 +1,16 @@
 # Tokenizer
 
-This repo contains C# and Typescript implementation of byte pair encoding(BPE) tokenizer for OpenAI LLMs, it's based on open sourced rust implementation in the [OpenAI tiktoken](https://github.com/openai/tiktoken). Both implementation are valuable to run prompt tokenization in .NET and Nodejs environment before feeding prompt into a LLM.
+This repo contains Typescript and C# implementation of byte pair encoding(BPE) tokenizer for OpenAI LLMs, it's based on open sourced rust implementation in the [OpenAI tiktoken](https://github.com/openai/tiktoken). Both implementation are valuable to run prompt tokenization in Nodejs and .NET environment before feeding prompt into a LLM.
+
+## Typescript implementation
+
+Please follow [README](tokenizer_ts/README.md).
 
 ## C# implementation
 
    > [!IMPORTANT]
    > Users of `Microsoft.DeepDev.TokenizerLib` should migrate to `Microsoft.ML.Tokenizers`. The functionality in `Microsoft.DeepDev.TokenizerLib` has been added to [`Microsoft.ML.Tokenizers`](https://www.nuget.org/packages/Microsoft.ML.Tokenizers). `Microsoft.ML.Tokenizers` is a tokenizer library being developed by the .NET team and going forward, the central place for tokenizer development in .NET. By using `Microsoft.ML.Tokenizers`, you should see improved performance over existing tokenizer library implementations, including `Microsoft.DeepDev.TokenizerLib`. A stable release of `Microsoft.ML.Tokenizers` is expected alongside the .NET 9.0 release (November 2024). Instructions for migration can be found at https://github.com/dotnet/machinelearning/blob/main/docs/code/microsoft-ml-tokenizers-migration-guide.md.
 
-## Typescript implementation
-
-Please follow [README](tokenizer_ts/README.md).
-
 ## Contributing
 
 We welcome contributions. Please follow [this guideline](CONTRIBUTING.md).