Agentic LLM Compilation of Adaptive Sampling Policies for Low-Power IoT Sensing

摘要: Battery-powered sensors must sample sparingly to conserve energy while still reconstructing the signal faithfully between measurements, and the decisi

正文

Battery-powered sensors must sample sparingly to conserve energy while still reconstructing the signal faithfully between measurements, and the decision logic must fit microcontroller-class hardware. We use a large language model (LLM) as an offline policy compiler: given a natural-language ...

来源: Brave/mdpi.com