diff --git a/README.md b/README.md index 77c3471d9d25..1a7e4e7edbc9 100644 --- a/README.md +++ b/README.md @@ -25,8 +25,9 @@ ## 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) * [2023/03] [AWS and Google Fund Colossal-AI with Startup Cloud Programs](https://www.hpc-ai.tech/blog/aws-and-google-fund-colossal-ai-with-startup-cloud-programs) -* [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) +* [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) * [2023/01] [Hardware Savings Up to 46 Times for AIGC and Automatic Parallelism](https://medium.com/pytorch/latest-colossal-ai-boasts-novel-automatic-parallelism-and-offers-savings-up-to-46x-for-stable-1453b48f3f02) * [2022/11] [Diffusion Pretraining and Hardware Fine-Tuning Can Be Almost 7X Cheaper](https://www.hpc-ai.tech/blog/diffusion-pretraining-and-hardware-fine-tuning-can-be-almost-7x-cheaper) * [2022/10] [Use a Laptop to Analyze 90% of Proteins, With a Single-GPU Inference Sequence Exceeding 10,000](https://www.hpc-ai.tech/blog/use-a-laptop-to-analyze-90-of-proteins-with-a-single-gpu-inference-sequence-exceeding) @@ -223,7 +224,7 @@ Please visit our [documentation](https://www.colossalai.org/) and [examples](htt -[ColossalChat](https://github.com/hpcaitech/ColossalAI/tree/main/applications/Chat): An open-source solution for cloning [ChatGPT](https://openai.com/blog/chatgpt/) with a complete RLHF pipeline. [[code]](https://github.com/hpcaitech/ColossalAI/tree/main/applications/Chat) [[blog]](https://www.hpc-ai.tech/blog/colossal-ai-chatgpt) [[demo]](https://chat.colossalai.org) +[ColossalChat](https://github.com/hpcaitech/ColossalAI/tree/main/applications/Chat): An open-source solution for cloning [ChatGPT](https://openai.com/blog/chatgpt/) with a complete RLHF pipeline. [[code]](https://github.com/hpcaitech/ColossalAI/tree/main/applications/Chat) [[blog]](https://medium.com/@yangyou_berkeley/colossalchat-an-open-source-solution-for-cloning-chatgpt-with-a-complete-rlhf-pipeline-5edf08fb538b) [[demo]](https://chat.colossalai.org)
diff --git a/applications/Chat/README.md b/applications/Chat/README.md
index 2f1771bc9d37..f69f32ac4a40 100644
--- a/applications/Chat/README.md
+++ b/applications/Chat/README.md
@@ -38,7 +38,7 @@
---
## 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
-**As Colossa-AI is undergoing some major updates, this project will be actively maintained to stay in line with the Colossal-AI project.**
+
+
+
-
-Image source: https://openai.com/blog/chatgpt
-