LLM-powered tweet classification at scale: near-instant and essentially free
ivan_bezdomny · x · 2026-09-19
The author describes using Jev for tweet-level multi-tag classification with 2-depth hierarchy: LLMs beat pre-LLM classifiers on flexibility (new categories via prompt changes or multi-shot examples), while Jev makes classification near-instant and essentially free. Subtle categories may need 2-3 preprocessing calls plus 2-3 classification passes. A useful workflow for the many applied problems that boil down to tagging at scale.
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