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title: README
emoji: 🐨
colorFrom: blue
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For easier cloud AI development, the recipe below has security, performance, lifecycle management and scalability superpowers to make it easy.

Preparation and model teaching:

  1. Use Huggingface as Fastest way to document and plan with fast code testing.
  2. Create a video playlist for Youtube that shows short videos on pattern implementation:
  3. Use Azure Free to set up initial patterns and gain familiarity
  4. Use an Azure pre-flight checklist to plan your resource selection which we will eventually get down to code.
  5. New Azure subscription using an Account to explore $200 with resources free, Bookmark opening resources for starters.
  6. Github integration for subscription, github actions, and accelerators
  7. Git with one easy example per type of app and secure access pattern. Do easiest first, refactor to easiest.
  8. Get your mobile device for MFA, SMS (IPad, Android, iPhone to demo)
  9. Get your top LLM's to help with AI Pair Programming. Refactor model approach to use securely and internally.
  10. Set up code for Github for HTML, Gradio, Streamlit examples
  11. Demonstrate and teach others.

Reference Papers and Spaces:

STaR: Self-Taught Reasoner, Bootstrapping Reasoning With Reasoning: https://openreview.net/pdf?id=_3ELRdg2sgI From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape: https://arxiv.org/pdf/2312.10868

Gradio: AI Research Papers via ArXiV - https://huggingface.co/spaces/awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern HTML5: 🌟Depth Anything w/ 🤗 Transformers.js🐆 - index.html - main app Streamlit: Transcript EDA NLTK - https://huggingface.co/spaces/awacke1/Transcript-EDA-NLTK