Update README.md

README.md

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- <p class="lg:col-span-2"> **Intent/Outcome of the Classroom:**  The intent of this HF Organization and this Classroom session is to enable all attendees to create AI and NLP programs in record time using Spaces, HTML5, <a href="https://www.gradio.app">Gradio</a>, Streamlit, and Open Source.  
+ <p class="lg:col-span-2"> **Intent/Outcome of the Classroom:**  The intent of this Organization and Classroom is to enable attendees to create AI and NLP programs in record time using HF Spaces, HTML5, <a href="https://www.gradio.app">Gradio</a>, Streamlit, and Open Source.  
 
-By the end of this session attendees will be able to easily create new AI and NLP demos of their own to host and share including UI, ML models, user input and interaction, dataset load, save, transform and search.  The goal is to achieve proficience in using AI and NLP software development kits and libraries by sharing in an open source environment.
+By the end of this session you will be able to easily create new AI and NLP demonstration apps to host and share including user interfaces, ML model inference, user input and interaction, use of datasets to load, save, cache, transform and search.  
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+The goal is to maximize skills with models, datasets, AI Apps, including learning to use state of art software development kits and libraries by sharing in an open source environment.
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    <details class="lg:col-span-2">
    <h3  class="my-8 lg:col-span-2" style="font-size:20px; font-weight:bold">Pre-requisites</h3>
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-     The preferred platform in 2022 for open source community AI development and demonstration is "HuggingFace Spaces".  Spaces supports a model hub, an inference API, github action integration, and ability to create and freely host new programs for world wide communities.  HuggingFace is an open source implementation of an AI platform which supports three main SDK's used within AI and NLP apps which are HTML5, Gradio, and Streamlit.  
+     One of the best platforms in 2022 for open source AI development and demonstration is "HuggingFace Spaces".  
+     
+Spaces supports a model hub, an inference API, github and container turn key integration, and an ability to create and freely host new programs for world wide communities reducing the pain and difficulty in setting up environments for AI.  
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+HuggingFace is an open source implementation of an AI platform which supports three main SDK's used within AI and NLP apps which are HTML5, Gradio, and Streamlit.  
 
 As a pre-requisite you will need to create an account for yourself at HuggingFace (https://huggingface.co/).  Next join the classroom organization called "AINLPRoundTable".