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 new insight or understanding did you gain from this video?

Evaluate responses using AI:

OFF