IEEE

CarbonWise CX: An Agentic AI Framework for Carbon-Aware Customer Support Analytics Using RAG and LLM-Based Code Generation

Abstract: Organizations accumulate sufficient amounts of structured and unstructured customer support data, but current systems like SQL queries and fixed dashboards still generate actionable insights ...
IEEE

Automated Software Test Case Generation Using Directional Partially Weighted Ensemble Large Language Models With Retrieval-Augmented Generation (RAG)

Abstract: Ensuring software quality relies on testing practices that can reliably confirm whether delivered systems meet user requirements. While Acceptance Test-Driven Development (ATDD) encourages ...
Virtualization Review

Running AI on a Raspberry Pi, Part 1: Overview

LLMs and RAG make it possible to build context-aware AI workflows even on small local systems. Running AI locally on a Raspberry Pi can improve privacy, offline access, and cost control. Performance, ...
Yahoo

Harsh Soap Can Ruin Cast-Iron Cookware. Use This Pantry Staple to Clean It Instead

Add Yahoo as a preferred source to see more of our stories on Google. Cast-iron pans take a beating and we love them for it. Searing beef and pork loins at high heat and slow-cooking chili can leave a ...
Stars and Stripes

Pentagon plan expands oversight of Stars and Stripes, limits content

This story has been corrected. The Pentagon has released a modernization plan for Stars and Stripes that affirms the publication’s independence while expanding Defense Department oversight, ...
Geeky Gadgets

RAG vs Long Context for LLMs : When Each Approach Works Best

Large Language Models (LLMs) have transformed natural language processing, but their limitations, such as fixed training data and lack of real-time updates, pose challenges for certain applications.
GitHub

Scholar-RAG: LLM-Powered arXiv Literature Review Generator

Scholar-RAG is an automated workflow system designed specifically to assist researchers in drafting the "Related Work" section of academic papers. By combining Retrieval-Augmented Generation (RAG) ...
GitHub

GitHub - LaiXiansong/scholar-rag: An automated arXiv literature review generator using RAG, pgvector, and LLMs to synthesize zero-hallucination academic summaries with strict ...

Scholar-RAG is an automated workflow system designed specifically to assist researchers in drafting the "Related Work" section of academic papers. By combining Retrieval-Augmented Generation (RAG) ...