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  pinned: false
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  ---
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  Welcome - This organization holds examples and links for this session.
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- <h1><center>๐ŸฅซDatasets๐Ÿ“Š</center></h1>
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- <div align="center">Curated Datasets: <a href = "https://www.kaggle.com/datasets">Kaggle</a>. <a href="https://www.nlm.nih.gov/research/umls/index.html">NLM UMLS</a>. <a href="https://loinc.org/downloads/">LOINC</a>. <a href="https://www.cms.gov/medicare/icd-10/2022-icd-10-cm">ICD10 Diagnosis</a>. <a href="https://icd.who.int/dev11/downloads">ICD11</a>. <a href="https://paperswithcode.com/datasets?q=medical&v=lst&o=newest">Papers,Code,Datasets for SOTA in Medicine</a>. <a href="https://paperswithcode.com/datasets?q=mental&v=lst&o=newest">Mental</a>. <a href="https://paperswithcode.com/datasets?q=behavior&v=lst&o=newest">Behavior</a>. <a href="https://www.cms.gov/medicare-coverage-database/downloads/downloads.aspx">CMS Downloads</a>. <a href="https://www.cms.gov/medicare/fraud-and-abuse/physicianselfreferral/list_of_codes">CMS CPT and HCPCS Procedures and Services</a>
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- </div>
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-
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- # Azure Development Architectures in 2023:
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- 1. ChatGPT: https://azure.github.io/awesome-azd/?tags=chatgpt
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- 2. Azure OpenAI Services: https://azure.github.io/awesome-azd/?tags=openai
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- 3. Python: https://azure.github.io/awesome-azd/?tags=python
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-
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- # Dockerfile and Azure ACR->ACA Easy Robust Deploys from VSCode:
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- 1. Set up VSCode with Azure and Remote extensions and install Azure CLI locally
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- 2. Get access to azure subscriptions. Form there in VSCode, expand to Container Apps
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- 3. In Container Apps create new and pick Dockerfile to deploy to a ACR then ACA spin up using Azure to build.
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-
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- # Dockerfile for Streamlit and Dockerfile for FastAPI:
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- Show two examples.
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  # ๐Ÿ‘‹ Two easy ways to turbo boost your AI learning journey! ๐Ÿ’ป
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  3. ๐Ÿš€ Use these two superpower processes to reduce the time it takes you to make a new AI program! โฑ๏ธ
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  Keys: https://platform.openai.com/account/api-keys
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- Example Starter Prompt:
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- Write a streamlit program that demonstrates Data synthesis.
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- Synthesize data from multiple sources to create new datasets.
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- Use two datasets and demonstrate pandas dataframe query merge and join
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- with two datasets in python list dictionaries:
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- List of Hospitals that are over 1000 bed count by city and state, and
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- State population size and square miles.
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- Perform a calculated function on the merged dataset.
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-
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  # ๐ŸŽฅ YouTube University Method:
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  1. ๐Ÿ‹๏ธโ€โ™€๏ธ Plan two hours each weekday to exercise your body and brain.
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  8. [2023 State of the Art for Vision Image Classification, Text Classification and Regression, Extractive Question Answering and Tabular Classification](https://www.youtube.com/playlist?list=PLHgX2IExbFotPcPu6pauNHOoZTTbnAQ2F)
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  9. [2023 AutoML DataRobot and AI Platforms for Building Models, Features, Test, and Transparency](https://www.youtube.com/playlist?list=PLHgX2IExbFovsY2oGbDwdEhPrakkC8i3g)
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  ### Comparison of Large Language Models
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  | Model Name | Model Size (in Parameters) |
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  | ----------------- | -------------------------- |
 
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  pinned: false
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  ---
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  Welcome - This organization holds examples and links for this session.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # ๐Ÿ‘‹ Two easy ways to turbo boost your AI learning journey! ๐Ÿ’ป
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  3. ๐Ÿš€ Use these two superpower processes to reduce the time it takes you to make a new AI program! โฑ๏ธ
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  Keys: https://platform.openai.com/account/api-keys
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  # ๐ŸŽฅ YouTube University Method:
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  1. ๐Ÿ‹๏ธโ€โ™€๏ธ Plan two hours each weekday to exercise your body and brain.
 
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  8. [2023 State of the Art for Vision Image Classification, Text Classification and Regression, Extractive Question Answering and Tabular Classification](https://www.youtube.com/playlist?list=PLHgX2IExbFotPcPu6pauNHOoZTTbnAQ2F)
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  9. [2023 AutoML DataRobot and AI Platforms for Building Models, Features, Test, and Transparency](https://www.youtube.com/playlist?list=PLHgX2IExbFovsY2oGbDwdEhPrakkC8i3g)
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+ <h1><center>๐ŸฅซDatasets๐Ÿ“Š</center></h1>
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+ <div align="center">Curated Datasets: <a href = "https://www.kaggle.com/datasets">Kaggle</a>. <a href="https://www.nlm.nih.gov/research/umls/index.html">NLM UMLS</a>. <a href="https://loinc.org/downloads/">LOINC</a>. <a href="https://www.cms.gov/medicare/icd-10/2022-icd-10-cm">ICD10 Diagnosis</a>. <a href="https://icd.who.int/dev11/downloads">ICD11</a>. <a href="https://paperswithcode.com/datasets?q=medical&v=lst&o=newest">Papers,Code,Datasets for SOTA in Medicine</a>. <a href="https://paperswithcode.com/datasets?q=mental&v=lst&o=newest">Mental</a>. <a href="https://paperswithcode.com/datasets?q=behavior&v=lst&o=newest">Behavior</a>. <a href="https://www.cms.gov/medicare-coverage-database/downloads/downloads.aspx">CMS Downloads</a>. <a href="https://www.cms.gov/medicare/fraud-and-abuse/physicianselfreferral/list_of_codes">CMS CPT and HCPCS Procedures and Services</a>
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+ </div>
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+
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+ # Azure Development Architectures in 2023:
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+ 1. ChatGPT: https://azure.github.io/awesome-azd/?tags=chatgpt
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+ 2. Azure OpenAI Services: https://azure.github.io/awesome-azd/?tags=openai
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+ 3. Python: https://azure.github.io/awesome-azd/?tags=python
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+
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+ # Dockerfile and Azure ACR->ACA Easy Robust Deploys from VSCode:
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+ 1. Set up VSCode with Azure and Remote extensions and install Azure CLI locally
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+ 2. Get access to azure subscriptions. Form there in VSCode, expand to Container Apps
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+ 3. In Container Apps create new and pick Dockerfile to deploy to a ACR then ACA spin up using Azure to build.
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+
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+ # Dockerfile for Streamlit and Dockerfile for FastAPI:
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+ Show two examples.
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+
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+ # Example Starter Prompts for AIPP:
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+ Write a streamlit program that demonstrates Data synthesis.
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+ Synthesize data from multiple sources to create new datasets.
75
+ Use two datasets and demonstrate pandas dataframe query merge and join
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+ with two datasets in python list dictionaries:
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+ List of Hospitals that are over 1000 bed count by city and state, and
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+ State population size and square miles.
79
+ Perform a calculated function on the merged dataset.
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+
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+
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+
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  ### Comparison of Large Language Models
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  | Model Name | Model Size (in Parameters) |
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  | ----------------- | -------------------------- |