Embedding will find you the context you need to answer the question.
Then it will depend on how you phrase the final question you send to GPT. You may have to send the request to a CodeX model if it is PHP. But Davinci might be able to help too
I assume you want it to modify the code for your use-case. In this situation, a prompt to Codex would probably be the best bet
Since your response, i learned and tried embedding ada and davinci for about 150 paragraph. i tried to ask via prompt and the answer was match as my expectation.
Step that i did is :
i have 150 paragraph
i Convert it to vector (vectorization process)
save vector as csv file
Use csv file to be called by embedding
Is my step right?
If yes, if i have more 1000 paragraph, So i must convert all to vector?
Is posible to use embedding without ‘vectorization process’ ?
because vectorization process need big effort
The purpose of this question is make sure my step is right. I worry when i finish to convert 1000 paragraph but any technique that allow to use embedding without vectorization process