[marcotm]

For many use cases like summarization or information extraction, you can get deterministic and mostly non-creative results by adjusting the parameters (temperature, top-p, etc.). This is only possible via the API, though. And it work's most reliably when providing the whole input which should be worked on ("open book" as another commenter called it). I run a task like this for Hacker Jobs [1] and am quite happy with the results so far (there is also an article detailing how it works [2]). If you ask for facts that you hope are somehow remembered by the model itself, it is a different story.

[1] https://www.hacker-jobs.com [2] https://marcotm.com/articles/information-extraction-with-lar...

[AJRF]

> ...by adjusting the parameters (temperature, top-p, etc.). This is only possible via the API, though

Not exactly true; https://platform.openai.com/playground

[marcotm]

Yes, sorry, you're right of course. I wanted to say that you need to use the more developer-oriented tooling (API, Playground) if you want to have the parameter options.

[pseg134]

That uses the API as far as I’m aware.