Search papers, labs, and topics across Lattice.
4
0
8
Query quality improves by over 5% while reducing hard-failure rates by more than half, showcasing a novel approach to balancing efficiency and intent accuracy in on-device systems.
SAYRE's innovative approach to synthesizing KIE training data leads to substantial performance gains for on-device models, particularly in challenging extraction scenarios.
On-device LLMs can now drive real-time recommendation improvements, unlocking faster adaptation to evolving user intent without cloud reliance.
LLMs and Stable Diffusion aren't just cool tools; they're the twin pillars of a new era where AI agents can conduct "deep research" rivaling top human scientists.
