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AI-Institute-June-2023-Workshop

Code for the AI Institute in Dynamic Systems June 2023 Workshop Talk: Scientific Machine Learning with ChatGPT by Nathan Kutz and Mel Mashiku.

Unleashing Efficiency - Leveraging LLM Best Practice Principles and Frameworks for Research Engineering Productivity

Setup

  1. Make sure you have an OpenAI ChatGPT API Key
  2. Login to or sign up for a GitHub account
  3. Create a fork of this live coding session materials repository (ETA < 60 seconds)
    fork
  4. Start up a codespace for editing and running the code (opening the link in a new window is recommended)
    codespace
    Select your fork of the session repository (try entering "AI-Institute" to find your forked repository)
    repository
  5. Navigate (on the left) to the .ipynb file and click Select kernel. This will bring up a dialog in the lower right corner of the window. Select install - note that this is installing into the remote codespace, not onto your local computer.
    python extension

Activities

Live coding source code (.ipynb file)

  1. ChatGPT API Prompt Completion
  2. LangChain ChatGPT Interface
  3. LangChain Agents Demo
  4. GPT-Engineer Demo

GitHub Codespaces

overview

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Sample code for the AI Institute in Dynamic Systems June 2023 Workshop.

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  • Jupyter Notebook 71.3%
  • Python 27.7%
  • Shell 1.0%