LLM-Assisted Agentic Edge Intelligence Framework

LLM-Assisted Agentic Edge Intelligence Framework

The paper introduces the LLM-assisted Edge Intelligence (LEI) framework, a novel agentic architecture that addresses a critical gap in Industrial IoT and edge computing deployments: the inability of static, hard-coded edge analytics to autonomously adapt to changing data distributions, new sensing modalities, and evolving operational goals without manual redeployment. The LEI framework leverages cloud-hosted Large Language Models (LLMs) as cognitive orchestrators to dynamically generate, validate, and deploy lightweight Python programs onto resource-constrained edge devices — eliminating the need for manually specified business logic.

Article on https://venergiac.substack.com/p/llm-assisted-agentic-edge-intelligence.

Clone code from

  git clone https://github.com/venergiac/iiot-LEI-demonstrator
  python generate_data.py
  docker-compose up --build