Took a while, but here it is, a mega write-up on language models for text classification and, of course, Jev.
It's basically a visual guide to RNNs, CNNs, transformers, and calibration, with hands-on experiments on accuracy and efficiency.
Raschka's visual guide compares RNNs, CNNs, and transformers for text classification
AISummary
Sebastian Raschka has published a comprehensive write-up on language models for text classification, covering RNNs, CNNs, transformers, and calibration. It is presented as a visual guide with hands-on experiments on accuracy and efficiency.
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Source: Sebastian Raschka · x.comPublished · added here