A Comprehensive Survey of Retrieval-Augmented Large Language Models for Decision Making in Agriculture: Unsolved Problems and Research Opportunities DOI Open Access
Artem Vizniuk, Grygorii Diachenko, Іvan Laktionov

и другие.

Journal of Artificial Intelligence and Soft Computing Research, Год журнала: 2024, Номер 15(2), С. 115 - 146

Опубликована: Дек. 1, 2024

Abstract The breakthrough in developing large language models (LLMs) over the past few years has led to their widespread implementation various areas of industry, business, and agriculture. aim this article is critically analyse generalise known results research directions on approaches development utilisation LLMs, with a particular focus functional characteristics when integrated into decision support systems (DSSs) for agricultural monitoring. subject integration LLMs DSSs agrotechnical main scientific applied are as follows: world experience using improve processes been analysed; critical analysis carried out, application architectures have identified; necessity focusing retrieval-augmented generation (RAG) an approach solving one limitations which limited knowledge base training data, established; prospects agriculture analysed highlight trustworthiness, explainability bias reduction priority research; potential socio-economic effect from RAG sector substantiated.

Язык: Английский

Game changers: A generative AI prompt protocol to enhance human-AI knowledge co-construction DOI Creative Commons
Jeandri Robertson, Caitlin Ferreira, Elsamari Botha

и другие.

Business Horizons, Год журнала: 2024, Номер 67(5), С. 499 - 510

Опубликована: Апрель 4, 2024

The democratization of powerful artificial intelligence (AI) tools, including ChatGPT, has sparked the interest business practitioners given their ability to fundamentally change way we work. While AI tools are positioned augment human capabilities, effective implementation requires skill understand where, when and how best utilize them efficiently. Furthermore, meaningful engagement with content produced by generative (GenAI) necessitates intricacy appropriate prompt engineering optimize learning process. As field GenAI continues advance, art developing impactful prompts become a necessary for harnessing its full potential. This research develops an prompting protocol through constructivist theory lens. Based on principles constructivism, where individuals assimilate new knowledge bridging it existing understanding, this suggests active process in human-AI co-construction GenAI. goal is empower managers teams construct validate responses, thereby enhancing user interaction, optimizing workflows, maximizing potential outcomes chatbots.

Язык: Английский

Процитировано

34

The paradoxes of generative AI-enabled customer service: A guide for managers DOI Creative Commons
Carla Ferraro, Vlad Demsar, Sean Sands

и другие.

Business Horizons, Год журнала: 2024, Номер 67(5), С. 549 - 559

Опубликована: Апрель 21, 2024

Generative artificial intelligence (Gen AI) presents a disruptive innovation for brands and society, the power of which is still yet to be realized. In context customer service, Gen AI affords companies new possibilities communicate, connect, engage customers. This article draws on scholarly research consultation with service leaders present discuss in specifically chatbots. Importantly, this potential paradoxes enabled adding debate about role impact brands. Specifically, we six namely: connected isolated, lower cost higher price, quality less empathy, satisfied frustrated, personalized intrusive, powerful vulnerable. For each paradox, suggest brand response strategies mitigate downside manage upside.

Язык: Английский

Процитировано

33

How to build a competitive advantage for your brand using generative AI DOI
Yuanyuan Cui, Patrick van Esch, Steven E. Phelan

и другие.

Business Horizons, Год журнала: 2024, Номер 67(5), С. 583 - 594

Опубликована: Май 20, 2024

Язык: Английский

Процитировано

29

Managing a ChatGPT-empowered workforce: Understanding its affordances and side effects DOI Creative Commons
Jana Retkowsky, Ella Hafermalz, Marleen Huysman

и другие.

Business Horizons, Год журнала: 2024, Номер 67(5), С. 511 - 523

Опубликована: Апрель 6, 2024

Generative AI, particularly ChatGPT, creates new managerial concerns. This article addresses a crucial challenge: While employees are including the tool as their private knowledge assistant in many aspects of daily work, it is difficult for managers to see and understand impact within organization. There more literature on what ChatGPT means business, but we cannot say much long uninformed about its actual use. So, getting an insider's perspective needed think consequences organizations. The grounded qualitative study employees' experiences interacting with among 50 early adopters. First, show how employee-ChatGPT relations develop from private, experimental use into integral part work. Second, identify six affordances: searching information, brainstorming ideas, structuring content, writing first draft, embellishing text, proofing Further, highlight three looming side effects that threaten ties, quality organizations, work roles configured. Accordingly, this offers guidance managing ChatGPT-empowered workforce way aims mitigate these while harnessing opportunities.

Язык: Английский

Процитировано

17

Written by ChatGPT: AI, large language models, conversational chatbots, and their place in society and business DOI
Jan Kietzmann, Andrew Park

Business Horizons, Год журнала: 2024, Номер 67(5), С. 453 - 459

Опубликована: Июнь 1, 2024

Язык: Английский

Процитировано

17

A framework of diversity, equity, and inclusion safeguards for chatbots DOI Creative Commons

Esraa Abdelhalim,

Kemi S. Anazodo,

Nazha Gali

и другие.

Business Horizons, Год журнала: 2024, Номер 67(5), С. 487 - 498

Опубликована: Март 21, 2024

Язык: Английский

Процитировано

13

Navigating the challenges of generative technologies: Proposing the integration of artificial intelligence and blockchain DOI

Jordan Brewer,

Dhru Patel,

Dennie Kim

и другие.

Business Horizons, Год журнала: 2024, Номер 67(5), С. 525 - 535

Опубликована: Апрель 12, 2024

Язык: Английский

Процитировано

8

Generative Chatbots in the Era of Library 5.0: A Dilemma for Libraries? DOI
Vivien Oluchi Emmanuel,

Mabel Peter Ameh,

Bolaji David Oladokun

и другие.

Metaverse Basic and Applied Research, Год журнала: 2025, Номер 4, С. 157 - 157

Опубликована: Янв. 25, 2025

Introduction: The advent of Library 5.0 integrates advanced technologies such as artificial intelligence (AI), blockchain, and augmented reality to create inclusive user-centric experiences. Objective: This study explored the role generative chatbots, powered by AI, in transforming library operations within this framework. Method: employed a narrative review examine chatbots rendering services disruptive era. Findings: Findings revealed that offer personalized, accessible, efficient automating routine tasks, providing resource recommendations, enhancing user engagement. Their integration aligns with principles 5.0, which emphasize sustainability, inclusivity, innovation. However, adoption poses challenges, including concerns about data privacy, security, risk over-reliance on automation. Conclusion: paper indicated strategies for integrating effectively, robust protection measures, staff training, establishment ethical practices. It proposed balanced approach leverages chatbots' strengths while preserving libraries' relational transformative aspects. findings further importance aligning innovation traditional values ensure continued relevance accessibility digital age.

Язык: Английский

Процитировано

1

Investigating the usefulness of artificial intelligence-driven robots in developing empathy for English for medical purposes communication: The role-play of Asian and African students DOI
Ali Derakhshan, Timothy Teo, Saeed Khazaie

и другие.

Computers in Human Behavior, Год журнала: 2024, Номер 162, С. 108416 - 108416

Опубликована: Авг. 28, 2024

Язык: Английский

Процитировано

7

Digital twin-based cyber-physical manufacturing systems, extended reality metaverse enterprise and production management algorithms, and Internet of Things financial and labor market technologies in generative artificial intelligence economics DOI Creative Commons
George Lăzăroiu, Tom Gedeon, Elżbieta Rogalska

и другие.

Oeconomia Copernicana, Год журнала: 2024, Номер 15(3), С. 837 - 870

Опубликована: Сен. 30, 2024

Research background: Generative artificial intelligence (AI) and machine learning algorithms support industrial Internet of Things (IoT)-based big data enterprise asset management in multiphysics simulation environments by processing, modeling, monitoring, enabling business organizational managerial practices. Machine learning-based decision edge generative AI sensing systems can reduce persistent labor shortages job vacancies power productivity growth market dynamics, shaping career pathways facilitating occupational transitions skill gap identification labor-intensive manufacturing automation path planning spatial cognition algorithms, furthering theoretical implications for sciences. fintech, behavioral analytics assist multi-layered payment transaction processing screening with regard to authorized push payment, account takeover, synthetic identity frauds, flagging suspicious activities combating economic crimes rigorous verification processes. Purpose the article: We show that device functionalities cloud IoT virtual robotic technologies configure plant production route processes across cyber-physical multi-cloud immersive 3D environments, leading tangible outcomes reinforcement convolutional neural networks. Labor-augmenting impact employment participation, increase wage wealth inequality, lead potential displacement massive disruptions. The deep capabilities fintech terms adaptive credit scoring mechanisms enhance financial behaviors algorithmic trading returns, identify fraudulent transactions swiftly, improve forecasts, customized investment recommendations well-informed decisions. Methods: study selection process text mining systematic review software tools leveraged include Abstrackr, CADIMA, Colandr, DistillerSR, EPPI-Reviewer, JBI SUMARI, METAGEAR package R, SluRp, SWIFT-Active Screener. Such reference are harnessed methodologically evidence synthesis, characteristic extraction, predictive document classification, citation record screening, bias assessment, article retrieval automation, classification prioritization. Findings & value added: Industrial augmented reality create streamlining product remote extended reality-based navigation autonomous smart factory articulating level theory implications. operational modeling execute complete complex cognitive task-oriented knowledge economy jobs, producing first-rate quality outputs swiftly while unemployment spells, disruptions, losses, reduced earnings clustering algorithms. decentralized finance, interoperable blockchain networks, cash flow tools, tokenization mitigate fraud risks, enable digital fund crypto investing servicing, automate treasury operations integrating real-time capabilities, routing configurable workflows, lending technologies.

Язык: Английский

Процитировано

6