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This repository includes both some public prompts, prompt snippets, and prompt engineering resources.

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GPT Prompt Engineering Resources

GPT Prompt Engineering

Image: Prompt engineering workshop banner. Generation: DALLE

This is a repository containing strategies I have been experimenting with to improve the outputs from GPTs (but especially ChatGPT) using various attempts to optimise prompts (a field which is now commonly referred to as "prompt engineering").

I will also endeavor to use this repo to gather third-party prompt engineering resources and best practices.

Structure

  • Experiments - Logs of experiments designed to test the effectiveness of different prompting strategies
  • GPT_Outputs - Asking GPT to provide its own prompt eng guides
  • Prompt Snippets - Snippets I've found helpful in refining prompts
  • Prompts - Longer prompts
  • Resources - Mentioned below. Other people's prompt engineering guides.
  • Templates - Templates for logging prompt engineering work. Mostly GPT generated to start with my subsequent refinements.
  • Workarounds - Strategies for achieving better outputs

Prompt Engineering Resources (By Category)

Prompt engineering resources are listed under resources.

Currently this section has the following entities:

- Articles
- Courses & Certifications
- Github repositories
- Guides
- Newsletters
- Organisations
- Websites

Resources folder

For a more complete set of resources, see the various Awesome repos, including Awesome Prompt Engineering.


Disclaimer

Prompt engineering is a young and rapidly-evolving discipline and given the rapidity at which GPTs evolve and change also something of a constantly moving target.

Author

Daniel Rosehill public at danielrosehill dot com

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