This repository contains a notebook exploring the extraction of labels from text using a generative AI model. The methodology presented here offers a high potential to provide labeled datasets efficiently. With labeled data, it becomes possible to train other classification models with a significantly lower computational cost while performing the same task. It also provides a method to visualize significant statistics over text data.
- Efficient Label Extraction: Utilizing generative AI models for label extraction.
- Scalable Processing: Enables processing of large volumes of text data with reduced computational overhead.
- Insightful Statistics: Facilitates the extraction of valuable statistics and insights from text data.