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การยกระดับประสิทธิภาพการให้อาหารหนอนไหมตามช่วงวัยด้วยเทคโนโลยีแชทบอทเพื่อเพิ่มกำลังการผลิตผ้าไหม จังหวัดสุรินทร์

Journal of Computer and Creative Technology
เกษตรกรผู้เลี้ยงไหมในจังหวัดสุรินทร์ยังคงเผชิญกับความท้าทายอย่างต่อเนื่อง อันเป็นผลมาจากคำแนะนำในการให้อาหารที่แตกต่างกันไปตามช่วงวัยของหนอนไหม แต่ส่วนใหญ่ยังคงพึ่งพาความจำและความรู้ที่ไม่เป็นทางการถ่ายทอดกันมาระหว่างรุ่น การศึกษานี้ได้พัฒนาและประเมิน ...
Suphattra Wayalun, Songsak Meesit, Suphacai Kaeochan   +2 more
doaj   +1 more source

Introduction to Concepts in Artificial Intelligence and Machine Learning for Pharmacoepidemiologists: Large Language Models

Pharmacoepidemiology and Drug Safety, Volume 35, Issue 10, October 2026.
ABSTRACT Large language models (LLMs) represent a type of generative artificial intelligence (GenAI) that generate and interpret text, with some LLMs able to process multimodal content (e.g., images, audio, video), and can be deployed as part of agents to perform users' tasks. LLMs can perform natural language processing functions such as summarization,
James M. Gwinnutt, Rodrigo de Oliveira, Miriam J. Haviland, Julien H Shippee, Elizabeth Eldridge, Lenon Mendes Pereira, Emily Bratton, Jay Nanavati, Christina DeFilippo Mack   +8 more
wiley   +1 more source

Web Application for Local Retrieval-Augmented Generation (RAG) in the Browser

openIl presente elaborato descrive il lavoro svolto durante il periodo di stage, della durata di trecento venti ore, dal laureando Osama Chelhaoui, presso l’azienda Zucchetti S.p.A., che verrà definita come “Zucchetti” o “l’azienda” nel corpo del ...
CHELHAOUI, OSAMA
core  

RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation [PDF]

Large Language Models (LLMs) exhibit remarkable capabilities but are prone to generating inaccurate or hallucinatory responses. This limitation stems from their reliance on vast pretraining datasets, making them susceptible to errors in unseen scenarios.
Yuan, Ruibin, Xu, Chunpu, Guo, Yike, Fu, Jie, Chan, Chi-Min, Luo, Hongyin, Xue, Wei   +6 more
core   +1 more source

Leveraging AI for improving student writing in MBA case analyses: The MBABot initiative

Decision Sciences Journal of Innovative Education, Volume 24, Issue 4, October 2026.
Abstract This teaching brief discusses the development and implementation of MBABot, a custom GPT‐based AI tool designed to support writing‐intensive decision sciences course titled Delivering Business Value Through Information Systems. This MBA‐level course examines the role of business leaders in evaluating information systems and information ...
Craig Geter, John R. Drake
wiley   +1 more source

The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG) [PDF]

Retrieval-augmented generation (RAG) is a powerful technique to facilitate language model with proprietary and private data, where data privacy is a pivotal concern.
Wang, Shuaiqiang, Tang, Jiliang, Zeng, Shenglai, Ren, Jie, Xu, Han, He, Pengfei, Xing, Yue, Liu, Yiding, Yin, Dawei, Zhang, Jiankun, Chang, Yi   +10 more
core   +1 more source

ItemRAG: Retrieval-Augmented Generation with Item-Based Knowledge Computing for E-Commerce Product Question Answering

Big Data Mining and Analytics
The integration of Large Language Models (LLMs) into e-commerce platforms has significantly enhanced user experience through personalized recommendations and automated customer support.
Changliang Xu, Yukun Kang, Quan Feng, Jinghua Hua, Piji Li, Feiran Wu, Hu Wei, Xiang Chen, Sheng-Jun Huang, Songcan Chen   +9 more
doaj   +1 more source

Evaluating Guideline Adherence in Gemini‐Powered Dental Trauma Workflows: Standalone Gemini Chat vs. Document‐Grounded NotebookLM

Dental Traumatology, Volume 42, Issue 5, Page 659-667, October 2026.
ABSTRACT Aim The aim of this study was to compare the accuracy and inter‐account consistency of two Google Gemini–powered, user‐facing workflows for dental trauma decision support: standalone Gemini chat and NotebookLM, a document‐grounded workflow that generates responses grounded in uploaded European Society of Endodontology and International ...
Nicolás Dufey‐Portilla, Francesc Abella Sans, Fernando Duran‐Sindreu, Maria Teresa Salagaray, Venkateshbabu Nagendrababu, Paul V. Abbott, Liran Levin, Marc Garcia‐Font   +7 more
wiley   +1 more source

Retrieval-Augmented Generation in Information Science: What Do We Need to Know?

Advances in Knowledge Representation
Information Science is a field that naturally investigates information, that is, contextualized data, its phenomena and interactions, as well as its impacts on society.
Patrícia Nascimento Silva, Daiane Campos Procópio, Danielle Teixeira de Oliveira   +2 more
doaj  

An agentic multimodal RAG framework for enhancing nuclear regulatory review: Preserving structural integrity of safety analysis reports

Nuclear Engineering and Technology
Final Safety Analysis Reports (FSARs) distribute the evidence for a single answer across narrative text, engineering tables, and system diagrams, and flattening this evidence into generic text chunks can obscure the structure needed to verify an answer ...
Bokyeong Kim, Yonggyun Yu
doaj   +1 more source