Everything you wanted to know about ChatGPT: Components, capabilities, applications, and opportunities

Internet Technology Letters, Journal Year: 2024, Volume and Issue: unknown

Published: May 30, 2024

Abstract Conversational Artificial Intelligence (AI) and Natural Language Processing have advanced significantly with the creation of a Generative Pre‐trained Transformer (ChatGPT) by OpenAI. ChatGPT uses deep learning techniques like transformer architecture self‐attention mechanisms to replicate human speech provide coherent appropriate replies situation. The model mainly depends on patterns discovered in training data, which might result incorrect or illogical conclusions. In context open‐domain chats, we investigate components, capabilities constraints, potential applications along future opportunities. We begin describing components followed definition chatbots. present new taxonomy classify them. Our includes rule‐based chatbots, retrieval‐based generative hybrid Next, describe constraints ChatGPT. Finally, research results showed that ChatGPT, transformer‐based chatbot model, utilizes encoders produce responses.

Language: Английский

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Applications of Artificial Intelligence for Optimizing Banking and Financial Operations: A Systematic Literature Review and Future Research Agenda

Journal of Economic Surveys, Journal Year: 2025, Volume and Issue: unknown

Published: April 9, 2025

ABSTRACT Artificial intelligence (AI) is rapidly changing the banking and financial system, taking over fundamental operations to improve operational efficiencies minimize costs. Although scholarly research has focused either on implications of machine learning (ML) deep algorithms performance sectors or applications AI in specific operations, insights into overall growth but its diverse functional areas are relatively scarce. This study aims present a systematic literature review current state knowledge sector. A 157 articles was conducted identify, select, assess, synthesize relevant studies this phenomenon analyzed for emerging themes. The thematic analysis revealed several key themes, including as an innovation customer service, readiness, adoption inclusion, regulation, their explainability. It also identified various of, barriers to, adoption. Furthermore, proposes framework develops propositions that can be tested future research. Finally, provides agenda based theory, context, methodology (TCM) discusses study's implications.

Language: Английский

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Integrate AI-based chatbots into accounting services: Enhance customer communication and financial management support

Journal of Computational Methods in Sciences and Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 30, 2025

As businesses increasingly adopt digital tools to streamline operations, artificial intelligence (AI)-based chatbots have emerged as vital components for enhancing customer communication and supporting financial management within accounting services. This research focuses on reliable AI-powered capable of handling complex tasks while user satisfaction. The goal this study is establish AI-based in services improve assistance communication. paper presents a novel Raven Roosting-tuned Adaptive Bidirectional Long Short-Term Memory (RR-ABiLSTM) model designed classify queries enhance contextual understanding conversations communications. dataset encompasses both structured unstructured data from conversations, constituting domain-specific corpus focusing common tasks. Data preprocessing included text cleaning tokenization applied the acquired data. Subsequently, feature extraction was performed using Word2Vec. RR algorithm utilized optimize hyperparameters selection, BiLSTM ensures deep relationships thereby accuracy efficiency processing queries. Furthermore, dynamic training mechanism integrated, allowing chatbot continually adapt increasing consumer demands without downtime. proposed method implemented Python software, its performance compared with traditional algorithms. overall metrics—F1-score (87.75%), precision (89.25%), recall (86.24%), (90%)—illustrate that suggested significantly improves engagement, reduces workload accountants, enhances by providing support.

Language: Английский

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Artificial Intelligent Opportunities for Creativity and Innovation of Future Radio Translators

Jurnal Syntax Transformation, Journal Year: 2024, Volume and Issue: 5(6), P. 908 - 918

Published: June 24, 2024

Radio broadcasting is an industry where creativity and innovation can be significantly influenced by Artificial Intelligence (AI), which generate many ideas quickly, help the design process inspire human creativity. This research aims to acquire factual knowledge revealing important aspects that arise in (AI). uses a qualitative descriptive method with literature study approach. The findings show AI assist content creation, listener preference analysis, broadcast schedule optimization. It note cannot replace wisdom creativity, but used as tool enhance complement capabilities, making creation more efficient successful.

Language: Английский

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Human-AI Interaction in FinTech: The Prospects and Risks of Using Chatbots as Conversational Agents in Financial Customer Service

Studies in systems, decision and control, Journal Year: 2024, Volume and Issue: unknown, P. 489 - 502

Published: Jan. 1, 2024

Language: Английский

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