AI & ML · Sep 25
PrismML shrinks big models 4x for 2B vision on Qualcomm smart glasses
The company says its 1 bit Bonsai approach fits larger models into glasses sized memory while keeping nearly all benchmark performance.
- Track benchmark retention per gigabyte, not just raw model scores, when evaluating edge AI models.
- Treat local inference as a product design choice, with privacy, latency, and battery tradeoffs still needing proof.
- Watch for independent tests before assuming PrismML's smart glasses demo will generalize to shipped products.