AI-Heartbeat-Anomaly-Detection: An Innovative Attempt to Enhance LLM's Handling of IoT Time-Series Signals Using RAG

Introduction / Main Floor: AI-Heartbeat-Anomaly-Detection: An Innovative Attempt to Enhance LLM's Handling of IoT Time-Series Signals Using RAG

This project explores how to apply RAG technology to LLM-based IoT sensor data analysis. Through preprocessing, retrieval, and structured prompting, it enables large language models to understand and classify ECG signals, providing new ideas for the application of LLMs in the field of time-series data.