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Beyond K-Means: Using Large Language Models to Improve Text Clustering

PyCon Israel via YouTube

Overview

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Learn how to enhance text clustering in Natural Language Processing by combining scikit-learn and LangChain in this 19-minute PyCon Israel conference talk. Explore advanced techniques that go beyond traditional KMeans clustering to effectively reduce duplicate entries and minimize miscellaneous groupings. Discover practical solutions for improving cluster quality and accuracy through the integration of Large Language Models into the clustering workflow.

Syllabus

Noah Santacruz - Beyond KMeans - using LLMs to improve text clustering

Taught by

PyCon Israel

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