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[doc] add ColossalChat news (#3304)

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* [doc] add ColossalChat news

* [doc] add ColossalChat news
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binmakeswell
2023-03-29 09:27:55 +08:00
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applications/Chat/README.md
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---
## What is ColossalChat and Coati ?
ColossalChat is the project to implement LLM with RLHF, powered by the Colossal-AI project.
[ColossalChat](https://github.com/hpcaitech/ColossalAI/tree/main/applications/Chat) is the project to implement LLM with RLHF, powered by the [Colossal-AI](https://github.com/hpcaitech/ColossalAI) project.
Coati stands for `ColossalAI Talking Intelligence`. It is the name for the module implemented in this project and is also the name of the large language model developed by the ColossalChat project.
@@ -52,16 +52,20 @@ The Coati package provides a unified large language model framework that has imp
- Fast model deploying
- Perfectly integration with the Hugging Face ecosystem, high degree of model customization
<div align="center">
<p align="center">
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/applications/chatgpt/chatgpt.png" width=700/>
</p>
Image source: https://openai.com/blog/chatgpt
</div>
**As Colossa-AI is undergoing some major updates, this project will be actively maintained to stay in line with the Colossal-AI project.**
More details can be found in the [blog](https://www.hpc-ai.tech/blog/colossal-ai-chatgpt).
<p align="center">
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/applications/chatgpt/chatgpt.png" width=700/>
<span>Image source: https://openai.com/blog/chatgpt</span>
</p>
More details can be found in the latest news.
* [2023/03] [ColossalChat: An Open-Source Solution for Cloning ChatGPT With a Complete RLHF Pipeline](https://medium.com/@yangyou_berkeley/colossalchat-an-open-source-solution-for-cloning-chatgpt-with-a-complete-rlhf-pipeline-5edf08fb538b)
* [2023/02] [Open Source Solution Replicates ChatGPT Training Process! Ready to go with only 1.6GB GPU Memory](https://www.hpc-ai.tech/blog/colossal-ai-chatgpt)
## Online demo
You can experience the performance of Coati7B on this page.