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For practitioners at scale
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This could be a powerful pattern: Use general-purpose models to prove a concept, then build hyper-optimized models for scale, speed, and cost efficiency.
tobi@tobiSep 1
Training tiny models for special purpose use cases works so incredibly well if you have a great self improving recursive flywheel. Shopify ML team is on fire. finetuned 0.8b model beats GPT 5.6-sol xhigh in this very specialized task. https://t.co/w6OCWyWRi5