add LLaMA-Adapter V2 demo

README.md

@@ -10,7 +10,7 @@ This repo proposes **LLaMA-Adapter (V2)**, a lightweight adaption method for fin
 Try out the web demo 🤗 of LLaMA-Adapter: [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/csuhan/LLaMA-Adapter) and [LLaMA-Adapter V2](http://llama-adapter.opengvlab.com/)
 
 ## News
-- **[2023.05.23]** We release the web demo of LLaMA-Adapter V2. Check out our demo at [llama-adapter.opengvlab.com](http://llama-adapter.opengvlab.com/).
+- **[2023.05.23]** We release the web demo of LLaMA-Adapter V2. Check out our demo at [OpenGVLab](http://llama-adapter.opengvlab.com/)!
 - **[2023.05.05]** We release the paper and code of our new work [Personalize Segment Anything](/~https://github.com/ZrrSkywalker/Personalize-SAM) 🔥🔥🔥, which efficiently fine-tunes Segment Anything with **10 seconds**, and improves DreamBooth for better **text-to-image generation**. 
 - **[2023.04.30]** We noticed that GPT-4 evaluation has a strong positional bias in favor of the first response. We will soon update the paper to reveal the position bias. GPT-4 evaluation also shows a potential to automate chatbot assessment, but still requires further research. Great thanks to [Canwen Xu](https://scholar.google.com/citations?user=oopKCDMAAAAJ&hl=en).
 - **[2023.04.30]** The technical report for **LLaMA-Adapter V2** is released at [preprint](https://arxiv.org/abs/2304.15010).