The problem is that it would take us the same amount of time to just add a form with django. Plus you have to handle failure cases, etc.
And yeah I agree this would be a great use-case, and isn't that expensive.
I'd like to do this in lots of places, and the problem is I have to convince my boss to pay for something that otherwise would have been free.
The conversation would be "We have to add these fields to our model, and we either tell django to add a form for them, which will have 0 ongoing cost and no reliance on a third party,
or we send the resume to openai, pay for them to process it, make some mechanism to sanity check what GPT is responding with, alert us if there's issues, and then put it into that model, and pay 5 cents per resume."
> 1-3 hours of a fully loaded engineers salary per year.
That's assuming 0 time to implement, and because of our framework it would take more hours to implement the openai solution (that's also more like 12 hours where we are).
> $500 per 10k.
I can't stress this enough - the alternative is 0$ per 10k. My boss wants to know why we would pay any money for a less reliable solution (GPT serialization is not nearly as reliable as a standard django form).
I think within the next few years we'll be able to run the model locally and throw dozens of tasks just like this at the LLM, just not yet.
And yeah I agree this would be a great use-case, and isn't that expensive.
I'd like to do this in lots of places, and the problem is I have to convince my boss to pay for something that otherwise would have been free.
The conversation would be "We have to add these fields to our model, and we either tell django to add a form for them, which will have 0 ongoing cost and no reliance on a third party,
or we send the resume to openai, pay for them to process it, make some mechanism to sanity check what GPT is responding with, alert us if there's issues, and then put it into that model, and pay 5 cents per resume."
> 1-3 hours of a fully loaded engineers salary per year.
That's assuming 0 time to implement, and because of our framework it would take more hours to implement the openai solution (that's also more like 12 hours where we are).
> $500 per 10k.
I can't stress this enough - the alternative is 0$ per 10k. My boss wants to know why we would pay any money for a less reliable solution (GPT serialization is not nearly as reliable as a standard django form).
I think within the next few years we'll be able to run the model locally and throw dozens of tasks just like this at the LLM, just not yet.