[txtai]

Starting with HF models and moving to a large model like GPT3 when the task calls for it is a good approach to take with almost all tasks.

[joedevon]

How about fine tuning testing w/ Davinci and then scaling it down for the other models or HF once you've proven it works. I believe the openai docs propose this approach (minus HF of course)

[txtai]

That's up to you. Many don't want to open an account and pay in order to explore what's possible. There are LLMs available on the HF Hub, such as google/flan-t5-xl.

[rozgo]

This works well. Starting with bigger models allows us to explore whats possible. I find it easier to scale down from here.