Language models for text classification: From bag-of-words to Jev

The article traces the evolution of language models for text classification from bag-of-words methods to modern approaches like the recently released Jev AI model. Jev positions itself as a middle ground between general-purpose large language models (which are slower and more expensive) and narrow, task-specific classifiers (which may be more efficient but less versatile). The author provides a technical history of text classification approaches to contextualize Jev's popularity and capabilities.