When Small NLP Models Beat the LLM
Every language problem gets routed to a frontier text-generation model these days — and sometimes that's exactly the wrong engineering choice. This episode tours the classic NLP task families that Hugging Face still files separately from generation: feature extraction, fill-mask, question answering, sentence similarity, summarization, table question answering, text classification, text ranking, token classification, zero-shot classification, and translation. The organizing insight is that what separates these from generation isn't subject matter — it's the shape of the output, and the…
The skinny
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