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Using a Local LLM as a Zero-Shot Classifier

April 23, 2026

A practical pipeline for classifying messy free-text data into meaningful categories using a locally hosted LLM, no labeled training data required.

The post Using a Local LLM as a Zero-Shot Classifier appeared first on Towards Data Science.

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⟵ Decoupled DiLoCo: A new frontier for resilient, distributed AI training
Applying multimodal biological foundation models across therapeutics and patient care ⟶

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