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There are better guides out there too
- https://www.promptingguide.ai/readings
- https://github.com/dair-ai/Prompt-Engineering-Guide/tree/mai...
- https://github.com/microsoft/promptbase (this one is less of a guide, but is likely the current SoTA)
There are better guides out there too
- https://www.promptingguide.ai/readings
- https://github.com/dair-ai/Prompt-Engineering-Guide/tree/mai...
- https://github.com/microsoft/promptbase (this one is less of a guide, but is likely the current SoTA)
Here's a big one I needed to get ChatGPT to do something more sophisticated with a JSON object response (predates functions and all that)
https://github.com/hofstadter-io/hof/blob/_dev/flow/chat/pro...
It no longer worked after a model update some time ago, haven't tried recently.
I found codellama to be much better for this and require fewer instructions, an anecdotal validation for smaller, focussed models
Thank you for the great library and examples! Can you please comment on how simpleaichat compares to https://github.com/outlines-dev/outlines ?
People have been working on very elaborate "super prompts" to drive custom GPT development on OpenAI. Non-programmers have spent hours copying and pasting super prompts together with the hopes that they will cash in on OpenAI GPT Store when it opens, without interest in open sourcing these prompts. Unfortunately, they left back doors wide open and have been.. Pwned.. by ChatGPT-savvy users who have gladly open-sourced the super prompts: https://github.com/linexjlin/GPTs.git