rafaelpierre/bullet
bullet: A Zero-Shot / Few-Shot Learning, LLM Based, text classification framework
This project helps data professionals and analysts automatically categorize text data. You provide raw text documents, like customer reviews or social media posts, and a list of possible categories. It then uses advanced AI to assign each text to the correct category, even if it hasn't seen examples before. This is ideal for anyone needing to sort or analyze large volumes of unstructured text without extensive manual labeling.
No commits in the last 6 months.
Use this if you need to quickly and accurately classify text documents into predefined categories without a lot of training data.
Not ideal if you need a solution for generative text tasks, such as creating new content or rephrasing existing text.
Stars
12
Forks
3
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Nov 15, 2023
Commits (30d)
0
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