Update README.md

README.md

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-        Welcome to the <a href="https://gradio.app/" target="_blank" style="text-decoration: underline">Gradio</a> Blocks Party 🥳  
+        👋👋👋👋👋 Welcome to the fastai X Hugging Face Group 🥳🥳🥳🥳🥳  
    </h2>
-   <h3 class="my-8 lg:col-span-2" style="font-size:20px; font-weight:bold">Join organization by clicking <a href="https://huggingface.co/organizations/Gradio-Blocks/share/YyEmWbViPRZypvGSnZzGxmKEnJqnOqgKKx" style="text-decoration: underline">here</a></h3>
-    <h4 class="my-8 lg:col-span-2" style="font-size:20px; font-weight:bold"><a href="https://huggingface.co/spaces/Gradio-Blocks/Leaderboard" style="text-decoration: underline">Live Blocks Party Leaderboard</a></h4>
+   <h3 class="my-8 lg:col-span-2" style="font-size:20px; font-weight:bold">Join the Group by clicking <a href="https://huggingface.co/organizations/hugginglearners/share/zpkoRjVushPkTyTzPpQDWxnmbJwPkqWTsS" style="text-decoration: underline">here</a></h3>
+    <h4 class="my-8 lg:col-span-2" style="font-size:20px; font-weight:bold"><a href="https://huggingface.co/spaces/Gradio-Blocks/Leaderboard" style="text-decoration: underline">Live Group Leaderboard</a></h4>
    <img class="lg:col-span-2" src="https://huggingface.co/spaces/Gradio-Blocks/README/resolve/main/banner.png" alt="Gradio Banner" style="margin:10px">
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+    Few have done as much as the fast.ai ecosystem to make Deep Learning accessible. Let's make exclusivity in access to Machine Learning, including pre-trained models, a thing of the past, and let's push this unique field even further.
+    
+    Goal: 1 month (June 15 to July 15) group to share Vision and Text pre-trained fastai Learners with the community for further community usage and reproducibility.
+     
     We are happy to invite you to the Gradio Blocks Party - a community event in which we will create <b>interactive demos</b> for state-of-the-art machine learning models. Demos are powerful because they allow anyone — not just ML engineers — to try out models in the browser, give feedback on predictions, identify trustworthy models. The event will take place from <b>May 17th to 31st</b>. We will be organizing this event on <a href="https://huggingface.co/Gradio-Blocks" target="_blank" style="text-decoration: underline">Hugging Face</a> and the <a href="https://discord.com/invite/feTf9x3ZSB" target="_blank" style="text-decoration: underline">Hugging Face discord server</a>, check the gradio channel for staying up to date with the event. Prizes will be given at the end of the event, see the <a href="#Prizes" target="_blank" style="text-decoration: underline">Prizes section</a> </p><br />
    
    <p class="lg:col-span-2"> We will be building demos using the new Gradio Blocks API. Blocks allows you to build web-based demos in a flexible way using the <a href="https://www.gradio.app">Gradio library</a>. Gradio is a popular choice for building demos for machine learning models, as it allows you to create web-based UIs all in Python. For example, here is a UI for Dall-E Mini using Gradio Blocks: