IEEE

QRAG: Using Learnable Graph Queries for Retrieval Augmented Generation

Abstract: Retrieval-augmented generation (RAG) is a critical feature of most LLM pipelines, ensuring the model produces precise, up-to-date, and hallucination-free results. However, traditional RAG, ...
Journal of Medical Internet Research

Large Language Model–Driven Knowledge Graph Construction in Sepsis Care Using Multicenter Clinical Databases: Development and Usability Study

Conclusions: This study represents a pioneering effort in using LLMs, particularly GPT-4.0, to construct a comprehensive sepsis knowledge graph. The innovative application of prompt engineering, ...
IEEE

Dynamic Scheduling With Task Migration in Cloud Manufacturing Using Hybrid Federated Deep Reinforcement Learning and Graph Neural Network Model

Abstract: Cloud Manufacturing (CMfg) serves as a pivotal platform, seamlessly integrating enterprise resources and consumer demands, thus playing a central role in task scheduling and service ...
Analytics Insight

How to Master Python for Data Science Fast (2026 Beginner Guide)

Overview Structured Python learning path that moves from fundamentals (syntax, loops, functions) to real data science tools ...