Update src/content.py

src/content.py

@@ -80,7 +80,7 @@ ABOUT_TEXT = r"""
 
 The rapid evolution of generative AI is reshaping numerous industries and aspects of our daily lives. While these advancements offer some benefits, they also **pose substantial environmental challenges that cannot be overlooked**. Plus the issue of AI's environmental footprint has been mainly discussed at training stage but rarely at the inference stage. That is an issue because **inference impacts for large langauge models (LLMs) can largely overcome the training impacts when deployed at large scales**.
 
-At **[VACTN](https://genai-impact.org/) we are dedicated to understanding and mitigating the environmental impacts of generative AI** through rigorous research, innovative tools, and community engagement. Especially, in early 2024 we have launched an new open-source tool called [EcoLogits](https://github.com/genai-impact/ecologits) that tracks the energy consumption and environmental footprint of using generative AI models through APIs.
+At **[VACTN](https://chuyendoisoxanh.org/) we are dedicated to understanding and mitigating the environmental impacts of generative AI** through rigorous research, innovative tools, and community engagement. Especially, in early 2024 we have launched an new open-source tool called [EcoLogits](https://github.com/genai-impact/ecologits) that tracks the energy consumption and environmental footprint of using generative AI models through APIs.
 
 
 ## 🙋 FAQ 
@@ -91,7 +91,7 @@ Environmental impacts are calculated based on model architecture and parameter c
 
 **Which generative AI models or providers are supported?**
 
-To see the full list of **generative AI providers** currently supported by EcoLogits, see the following [documentation page](https://ecologits.ai/providers/). As of today we only support LLMs but we plan to add support for embeddings, image generation, multi-modal models and more. If you are interested don't hesitate to [join us](https://genai-impact.org/contact/) and accelerate our work!
+To see the full list of **generative AI providers** currently supported by VACTN AI Ecoprint, see the following [documentation page](https://chuyendoisoxanh.org/). As of today we only support LLMs but we plan to add support for embeddings, image generation, multi-modal models and more. If you are interested don't hesitate to [join us](https://chuyendoisoxanh.org/) and accelerate our work!
 
 **How to reduce AI environmental impacts?**
 
@@ -140,7 +140,7 @@ We also welcome any open-source contributions on 🌱 **[VACTN AI Ecoprint](http
 
 We thank [Data For Good](https://dataforgood.fr/) and [Boavizta](https://boavizta.org/en) for supporting the development of this project. Their contributions of tools, best practices, and expertise in environmental impact assessment have been invaluable. 
 
-We also extend our gratitude to the open-source contributions of 🤗 [Hugging Face](huggingface.com) on the LLM-Perf Leaderboard.
+We also extend our gratitude to the open-source contributions of 🤗 Other Partners on the LLM-Perf Leaderboard.
 
 
 ## 🤝 Contact