Microsoft's Phi-3 Medium (14B parameters) proved that smaller models trained on carefully curated "textbook-quality" data could rival models ten times their size on reasoning benchmarks. It ran efficiently on a single consumer GPU, making powerful AI accessible without cloud infrastructure and scoring 78% on MMLU.

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