Research6d ago
Research
Categorizing Data Without Large Language Models
Developers are revisiting non-LLM methods for data categorization to reduce latency and cost. These approaches favor deterministic logic or smaller, specialized classifiers over general-purpose models. The shift prioritizes efficiency for high-volume tasks where LLM overhead proves prohibitive. It is an incremental return to traditional machine learning for specific use cases.