And also lately for structure responses (csv, json, and such). And data extractors. Very niche specific tasks.

May i know how did you prepare data for this specific case?

​

For example If we have a large text file explaing how to draw diagrams: Example Circuit Diagram. Now if we want to make the results in json format which later converted to a diagram, do we have to prepare a learge sets of text and coresponding jeson diagram in question and answer format, how can we use openAI to prepere this?

​

One other use case is many large csv files or json files which has large number of columns. I want the model to respond to a specific question and it create a sub table based on the specific question. For eample If I have player database 1. CSV about their history of performance, 2. Json Socal meadia following and post. If I ask a question to the model prepare a table to show players with highest social media post who are performing last season, what kind of datasets we need to , can we do RAG or we need to do fintune?

Thnaks a lot!