Posts with #SmallModels

#SmallModels

Public posts on X that use #SmallModels.

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  1. Json@notjasonmorris
    Small models are the budget option? A fine-tuned 0.8B in production beat prompted GPT-5.4 on precision and recall at 16x lower serving cost. The trick: a frontier model built the training data, then left the request path. Full read on our LinkedIn. #SmallModels #FineTuning
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  2. Jeremy Chone✓@jeremychone
    This is my average cost, not for an AI request. v4 pro and v4 flash (for auto context) (Rust @rustlang coding) With Opus, GPT, or Flash, would have been ~0.40, 2m (2x faster, but 20x price). Price/Limit no more #BigApps #SmallModels
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  3. Jen Zhu✓@jenzhuscott
    Microsoft’s new Phi-3.5-3.8B (Mini) beats LLaMA-3.1-8B, trained only on 3.4T tokens Phi-3.5-16x3.8B (MoE) beats Gemini-Flash, trained only on 4.9T tokens Phi-3.5-V-4.2B (Vision) beats GPT-4o, trained on 500B tokens. AI efficiency game is 🔥 🚀 #SmallModels @Microsoft
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