Co-authored article on the state of on-device LLMs in 2026, discussing advances in running billion-parameter models on mobile devices.
How media typically covers Vikas Chandra
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“Meta AI veteran who led AI work for smart glasses, joining Atoms to build foundation models for the physical world.”
“Co-author of the VLM3 paper on Vision Language Models for 3D learning.”
“Provided feedback through regular meetings and project-planning discussions on MobileMoE development.”
“Author of article on efficient video intelligence advances in 2026, discussing compact encoders, adaptive token allocation, and edge deployment.”
Billion-parameter language models now run in real time on flagship mobile devices through advances in model compression and deployment techniques, making on-device inference viable for latency-sensitive and privacy-critical applications.
“Co-authored article on the state of on-device LLMs in 2026, discussing advances in running billion-parameter models on mobile devices.”