HF researcher: fine-tuned small models win on throughput, zero-shot wins on capabilities
antoine_chaffin · x · 2026-10-09
Hugging Face researcher Antoine Chaffin, one of the paper's authors, responds to a critique that a model seems exploratory rather than performance-maximizing: fine-tuned small models will always have an edge when you need maximum throughput for a large-scale task, but zero-shot capabilities and multi-task learning are also very strong and can unlock capabilities hard to get otherwise. The two approaches are complementary, not opposed.
Related event: Hugging Face researcher on small fine-tuned models vs general models(2 posts)→
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