KarelDO/xmc.dspy
In-Context Learning for eXtreme Multi-Label Classification (XMC) using only a handful of examples.
This tool helps you classify documents or content into a very large number of categories (10,000 or more) efficiently. You input text and it outputs relevant category labels, even with just a few examples. It's designed for data scientists or machine learning engineers who need to manage and categorize vast amounts of information.
449 stars. No commits in the last 6 months.
Use this if you need to perform multi-label classification for tasks with an extremely large set of possible categories and want to leverage large language models without extensive fine-tuning.
Not ideal if your classification task involves a small number of categories or if you prefer traditional machine learning methods that require extensive labeled datasets for training.
Stars
449
Forks
24
Language
Python
License
MIT
Category
Last pushed
Feb 13, 2024
Commits (30d)
0
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