GPT Model Use Cases for Zapier

Hey all, wanted to drop some helpful guidance on use cases for ChatGPT models and use cases. Some models are just better than others for specific tasks. Some models also charge more, and your task may be simple enough to use a cheaper GPT model.

There are 16 models total:

1. gpt-4-turbo
2. gpt-4-turbo-2024-04-09
3. gpt-4-1106-vision-preview
4. gpt-3.5-turbo-1106
5. gpt-4-1106-preview
6. gpt-4-0613
7. gpt-3.5-turbo-16k-0613
8. gpt-3.5-turbo-0613
9. gpt-4-vision-preview
10. gpt-4-turbo-preview
11. gpt-3.5-turbo-16k
12. gpt-4
13. gpt-4-0125-preview
14. gpt-3.5-turbo-0301
15. gpt-3.5-turbo
16. gpt-3.5-turbo-0125

This video breaks down how each model can be used with some use cases for no-code intergration with zapier.

I have implemented some of this and it does make a big difference especially for anything above very basic/general output.

What most people know:

• While GPT-3.5 Turbo can be a good starting point for basic ChatGPT tasks, it's not a long-term solution. Once you're ready to scale, GPT-4 offers a more advanced approach with higher quality ChatGPT outputs.

What most people don't:

• JSON specific GPT models are arising and compute way differently
• "Vision" models are deceptively not just for vision. They actually help analyze tables and data better, by taking a different "look" (pun intended) at what is being analyzed.

Very interesting stuff. Def a rabbit hole best summed up by use case.