Accelerating Gemini Nano models on Pixel with frozen Multi-Token Prediction
Google Research details how frozen multi-token prediction accelerates Gemini Nano models on mobile hardware.
To run LLMs efficiently on mobile devices with strict energy budgets, Google is utilizing frozen multi-token prediction. This approach optimizes inference speed for on-device features like summarization and proofreading, allowing for high-performance AI without off-device data processing.