From LLM to complete System AI (Sensor AI)

Transfer knowledge from Large Language Models to Data Array AI, which generate complete complex fields (global ecosystems) from sparse sensory data.

Generate a complete system understanding from sparse sensory data with a new AI, w/ industrial applications either in medicine, energy management or financial risk management.

Pytorch implementation of "The Senseiver: attention-based global field reconstruction from sparse observations" available here - Github:
https://github.com/OrchardLANL/Senseiver


Currently Open Access to this Nature publication:
Novel approach using natural-language models opens AI applications for edge …

applications array attention data ecosystems energy energy management fields financial generate global implementation industrial knowledge language language models large language large language models llm management medicine pytorch risk sensor sensory transfer understanding