Now the page does say that uploading files is used for tasks like fine tuning, but should the word “like” here give me any hope?
I use the GPT API all the time for text generation, but I have never tried to use it with File objects. So let me ask this plainly so I don’t waste time chasing the Holy Grail (“it’s only a model! Run away!”).
Upload a document using the GPT API
Then run queries against the GPT API but tell it to reference the text in the File object when I ask questions about that text that I want explained to me?
For argument’s sake, let’s say the File object’s content fits within the max token limit of the current GPT API, using the best model/engine. Can I have GPT reference the document so I don’t have to resubmit/reupload the text of the document with every query?
Or is Code Interpreter a premium service that is simply just not available via the GPT API?
Note: If the answer to the above question is “Yes (I’m out of luck)”, then I would love to hear from any of you who tried out-of-the-box, or weird, or even awkward strategies to try and emulate the Code Interpreter behavior. It’s a truly stunning feature that I have used over and over to explain scientific, mathematical, or other documents concerning high complexity topics, especially those that are heavily domain specific in topics that I am not versed in, and it’s a joy to work with. Anything we could come up with to get even half that level of capability via the GPT API would be something worth trying, at least in my opinion.