Results 61 to 70 of about 3,238,639 (146)

AI-enabled software requirements specification for banking chatbot systems

New Trends in Computer Sciences
Software Requirements Specification plays an important role in the success of software development projects by providing clear, structured, and consistent documentation of requirements.
Ansu Mary Jacob, Jolanta Miliauskaitė
doaj   +1 more source

RAGAS: Automated Evaluation of Retrieval Augmented Generation

, 2023
We introduce RAGAs (Retrieval Augmented Generation Assessment), a framework for reference-free evaluation of Retrieval Augmented Generation (RAG) pipelines. RAG systems are composed of a retrieval and an LLM based generation module, and provide LLMs with
James, Jithin, Es, Shahul, Espinosa-Anke, Luis, Schockaert, Steven   +3 more
core  

Personalised Abusive Language Detection Using LLMs and Retrieval-Augmented Generation

Large language models (LLMs) can be useful tools for detecting abusive language on social media. However, LLMs are not always effective as they can overlook the diversity among individuals, which can lead to severe consequences.
Yao, Tsungcheng, Binnewies, Sebastian, Foo, Ernest   +2 more
core  

Helpful or Harmful? Re-Evaluating Frugality in Retrieval-Augmented Generation for Medical Question Answering

Machine Learning and Knowledge Extraction
Medical question answering (QA) systems and conversational agents have attracted growing interest as tools that can assist clinicians, support medical students, and help patients navigate complex information sources.
Richard Coric, Ebenezer F. Oloyede, Heriberto Cuayáhuitl   +2 more
doaj   +1 more source

Case Study on Understanding the Power of Retrieval Augmented Generation (RAG) [PDF]

Journal of Systemics, Cybernetics and Informatics
This paper explores how Generative AI is changing with the use of Retrieval-Augmented Generation (RAG). RAG helps improve Artificial Intelligence (AI) systems by making them more capable, efficient and accurate.
Venkata Jaipal Reddy Batthula, Richard S. Segall, Sreejith Sivasubramony   +2 more
doaj  

An Agent-Based RAG Architecture for Intelligent Tourism Assistance: The Valencia Case Study

Tourism and Hospitality
The contemporary digital landscape overwhelms visitors with fragmented and dynamic information, complicating travel planning and often leading to decision paralysis.
Andrea Bonetti, Adrián Salcedo-Puche, Joan Vila-Francés, Xaro Benavent-Garcia, Emilio Fernández-Vargas, Rafael Magdalena-Benedito, Emilio Soria-Olivas   +6 more
doaj   +1 more source

Automated ESG Analysis with Retrieval-Augmented Generation

Denna studie undersöker hur maskininlärning, specifikt Retrieval-Augmented Generation (RAG), kan effektivisera och standardisera ESG-analysen hos Spiltan Fonder.
Nibrass Akram, Nadin, Samoiel, Lukas
core   +2 more sources

Question Answering Enhancement Method for Large Educational Models Based on Re-ranking and Post-retrieval Reflection

大数据
Computer education is one of the requirements of modern information society education. With the development of large language models, there has been increasing attention on applying these models to the computer education process.
SUN Haoran, WANG Zhihao, WU Yifan, XIANG Yang   +3 more
doaj  

Document Retrieval Augmented Fine-Tuning (DRAFT) for Safety-Critical Software Assessment

IEEE Access
The evaluation of safety critical software requires a robust evaluation against complex regulatory frameworks, a process traditionally limited by manual evaluation.
Regan Bolton, Mohammadreza Sheikhfathollahi, Simon Parkinson, Vanessa Vulovic, Gary Bamford, Dan Basher, Howard Parkinson   +6 more
doaj   +1 more source

Diversity-Aware Retrieval-Augmented Generation

Retrieval-Augmented Generation (RAG) has become a pivotal paradigm for improving Large Language Models (LLMs) in knowledge-intensive tasks by incorporating external knowledge sources.
Deng, Yuhan
core