Jev: The Text Classifier That Surprised Even a Skeptic
Language models for text classification: From bag-of-words to Jev
Sebastian Raschka traces text classification from bag-of-words and logistic regression through RNNs and ULMFiT to the newly released Jev model. Initially skeptical that Jev was 'just a classifier,' he found it works better than expected, offering a faster, cheaper alternative to LLMs for classification tasks while being more general than task-specific models.
My thoughts went from 'classifiers used to be my bread & butter; I can easily build this myself' to 'wow, this actually works better than I thought.'