I’m still fumbling around with my fintech virtual assistant! In part of the tool, the user is asked if they want to work through additional methods of saving money in retirement or adding to their pension pot. I have successfully used the following prompt with davinci:
A user is asked how he wants to spend less money in retirement, or add additional funds to his retirement pot. From a choice of 5 options which are:
- Reduce essential expenses,
- Reduce goals,
- Generate additional income,
- Use property,
- Include an expected windfall,
the user says
“Free up some equity”.
Which option did he mean?
To which I get the response
“4. Use property”, which is correct.
“work part-time” gives me “3. Generate additional income”
“Include my inheritance” gives me “5. Include an expected windfall”
“Spend less money” gives me “The user meant to say Reduce essential expenses.”
So davinci works beautifully and gives me a response I can work with very easily without asking the user to utter a specific phrase. It’s perfect.
Until I use a model other than davinci. Then I get completely different (and incorrect) results.
I don’t mind using davinci except that it is so slow, the user starts repeating their answers because they think they haven’t been heard.
How can I either speed up davinci’s turnaround or else phrase the prompt so that I get more meaningful responses from one of the faster models? If that is even possible, of course!
Thanks so much,