Abstract: We propose ABA-RAG, a retrieval-augmented generation (RAG) framework specifically tailored for applied behavior analysis (ABA) interventions, which integrates real-time emotional and ...
What if your AI agent could not only answer your questions but also truly understand them, navigating complex queries with precision and speed? While the rise of vector search has transformed how AI ...
Abstract: Traditional Retrieval-Augmented Generation (RAG) methods are limited by their reliance on a fixed number of retrieved documents, often leading to incomplete or noisy information. While ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Artificial intelligence (AI) is transforming research in metal–organic frameworks ...
As a world leader in connected LED lighting products, systems, and services, Signify (formerly Philips Lighting) serves not only everyday consumers but also a large number of professional users who ...
A RAG-based retrieval system for air pollution topics using LangChain and ChromaDB. 📄 QuestRAG: AI-powered PDF Question Answering & Summarizer Bot using LangChain, Flan-T5, and Streamlit: A GenAI ...
New papers on Apple's machine learning blog detail how AI can be used for faster, cheaper, and more effective QE testing, as well as for bug fixing and identification. Now, one of its new studies ...
NVIDIA introduces a self-corrective AI log analysis system using multi-agent architecture and RAG technology, enhancing debugging and root cause detection for QA and DevOps teams. NVIDIA has announced ...
Introduction: The increasing adoption of large language models (LLMs) in public health has raised significant concerns about hallucinations-factually inaccurate or misleading outputs that can ...
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