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title: README
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# Welcome to BUSN 32210

* Canvas site: https://canvas.uchicago.edu/courses/51174
* ChatGPT: https://chat.openai.com/
* Free version of Stable Diffusion: https://clipdrop.co/stable-diffusion

## Resources for final project ideas
* Newsletter on latest AI advances (by Andrew Ng): https://www.deeplearning.ai/the-batch/
* More pop level newsletter on AI: https://www.joinsuperhuman.ai/
* A VC blog post: https://leighmariebraswell.substack.com/p/how-to-make-history-with-llms-and

Recent developements that might be useful:
* Provide GPT with external tools, which it'll use at its discretion: https://docs.kanaries.net/articles/openai-function-calling
* Make your own GPT (no-code!): https://chat.openai.com/gpts/discovery

## Other resources

* Flowise video tutorials (no-code LLM app builder) [here](https://www.youtube.com/playlist?list=PL4HikwTaYE0HDOuXMm5sU6DH6_ZrHBLSJ)
  * Videos #2 and #3 are the relevant ones for getting started
  * Video #6 is accessible and is a good way of thinking about more advanced applications
* Gradio (low-code ML app builder): https://www.gradio.app/
  * Note: you do need to write Python for this
  * You can deploy Gradio apps on HuggingFace spaces quite easily
* Example text prompts: https://github.com/f/awesome-chatgpt-prompts#prompts
* Technical background (need to know how to take a derivative and what a matrix is): https://web.stanford.edu/class/cs224n/index.html#schedule