Generating Questions and Answers from Text for Fine-tuning AI Models

The video tutorial explains how to prepare questions and answers from a text file for fine-tuning a model. It introduces a tool by OpenAI that generates questions and answers from text, requiring an API key for access. The process involves inputting text, specifying paragraph separation, and generating multiple sets of questions. The tutorial also covers reviewing the generated content, estimating costs, and exporting the data for further use in model fine-tuning.

What considerations should be made regarding paragraph separation when using the tool?

How does the tool ensure that questions generated are not repeated?

What steps should be taken after generating questions and answers to prepare the data for use?