Phi-4-Vision's 200 Billion Token Secret: Beating Giants on a Shoestring Budget
Trained on a mere 200 billion multimodal tokens—versus over a trillion for rivals—Microsoft's Phi-4-reasoning-vision-15B matches or beats much bigger models. It's proof that smarts, not scale, rule AI efficiency.
⚡ Key Takeaways
- Phi-4-reasoning-vision-15B trained on just 200B tokens, vs. 1T+ for rivals, yet matches performance in key areas.
- Mid-fusion architecture and data curation enable efficiency without sacrificing reasoning power.
- Pushes multimodal AI toward edge deployment, mirroring ARM's mobile revolution.
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Originally reported by Microsoft Research AI
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