ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope

Internet of Things and Cyber-Physical Systems, Journal Year: 2023, Volume and Issue: 3, P. 121 - 154

Published: Jan. 1, 2023

In recent years, artificial intelligence (AI) and machine learning have been transforming the landscape of scientific research. Out which, chatbot technology has experienced tremendous advancements in especially with ChatGPT emerging as a notable AI language model. This comprehensive review delves into background, applications, key challenges, future directions ChatGPT. We begin by exploring its origins, development, underlying technology, before examining wide-ranging applications across industries such customer service, healthcare, education. also highlight critical challenges that faces, including ethical concerns, data biases, safety issues, while discussing potential mitigation strategies. Finally, we envision areas further research focusing on integration other technologies, improved human-AI interaction, addressing digital divide. offers valuable insights for researchers, developers, stakeholders interested ever-evolving AI-driven conversational agents. study explores various ways revolutionizing research, spanning from processing hypothesis generation to collaboration public outreach. Furthermore, paper examines concerns surrounding use highlighting importance striking balance between AI-assisted innovation human expertise. The presents several issues existing computing domain how can invoke notion. work includes some biases limitations It is worth note despite controversies attracted remarkable attentions academia, very short span time.

Language: Английский

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The impact of ChatGPT on higher education

Frontiers in Education, Journal Year: 2023, Volume and Issue: 8

Published: Sept. 8, 2023

Introduction This study explores the effects of Artificial Intelligence (AI) chatbots, with a particular focus on OpenAI’s ChatGPT, Higher Education Institutions (HEIs). With rapid advancement AI, understanding its implications in educational sector becomes paramount. Methods Utilizing databases like PubMed, IEEE Xplore, and Google Scholar, we systematically searched for literature AI chatbots’ impact HEIs. Our criteria prioritized peer-reviewed articles, prominent media outlets, English publications, excluding tangential chatbot mentions. After selection, data extraction focused authors, design, primary findings. The analysis combined descriptive thematic approaches, emphasizing patterns applications chatbots Results review revealed diverse perspectives ChatGPT’s potential education. Notable benefits include research support, automated grading, enhanced human-computer interaction. However, concerns such as online testing security, plagiarism, broader societal economic impacts job displacement, digital literacy gap, AI-induced anxiety were identified. also underscored transformative architecture ChatGPT versatile sector. Furthermore, advantages streamlined enrollment, improved student services, teaching enhancements, aid, increased retention highlighted. Conversely, risks privacy breaches, misuse, bias, misinformation, decreased human interaction, accessibility issues Discussion While AI’s global expansion is undeniable, there pressing need balanced regulation application within Faculty members are encouraged to utilize tools proactively ethically mitigate risks, especially academic fraud. Despite study’s limitations, including an incomplete representation overall effect education absence concrete integration guidelines, it evident that technologies present both significant risks. advocates thoughtful responsible

Language: Английский

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A Survey on Large Language Models: Applications, Challenges, Limitations, and Practical Usage

Published: July 10, 2023

<p>Within the vast expanse of computerized language processing, a revolutionary entity known as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to comprehend intricate linguistic patterns and conjure coherent contextually fitting responses. models are type artificial intelligence (AI) that have emerged powerful tools for wide range tasks, including natural processing (NLP), machine translation, question-answering. This survey paper provides comprehensive overview LLMs, their history, architecture, training methods, applications, challenges. The begins by discussing fundamental concepts generative AI architecture pre- trained transformers (GPT). It then an history evolution over time, different methods been used train them. discusses applications medical, education, finance, engineering. also how LLMs shaping future they can be solve real-world problems. challenges associated with deploying scenarios, ethical considerations, model biases, interpretability, computational resource requirements. highlights techniques enhancing robustness controllability addressing bias, fairness, generation quality issues. Finally, concludes highlighting LLM research need addressed order make more reliable useful. is intended provide researchers, practitioners, enthusiasts understanding evolution, By consolidating state-of-the-art knowledge field, this serves valuable further advancements development utilization applications. GitHub repo project available at https://github.com/anas-zafar/LLM-Survey</p>

Language: Английский

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GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 54608 - 54649

Published: Jan. 1, 2024

The Generative Pre-trained Transformer (GPT) represents a notable breakthrough in the domain of natural language processing, which is propelling us toward development machines that can understand and communicate using manner closely resembles humans. GPT based on transformer architecture, deep neural network designed for processing tasks. Due to their impressive performance tasks ability effectively converse, have gained significant popularity among researchers industrial communities, making them one most widely used effective models related fields, motivated conduct this review. This review provides detailed overview GPT, including its working process, training procedures, enabling technologies, impact various applications. In review, we also explored potential challenges limitations GPT. Furthermore, discuss solutions future directions. Overall, paper aims provide comprehensive understanding applications, emerging challenges, solutions.

Language: Английский

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Are both generative AI and ChatGPT game changers for 21st-Century operations and supply chain excellence?

International Journal of Production Economics, Journal Year: 2023, Volume and Issue: 265, P. 109015 - 109015

Published: Aug. 23, 2023

Language: Английский

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Transfer learning in environmental remote sensing

Remote Sensing of Environment, Journal Year: 2023, Volume and Issue: 301, P. 113924 - 113924

Published: Nov. 28, 2023

Language: Английский

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Unveiling security, privacy, and ethical concerns of ChatGPT

Journal of Information and Intelligence, Journal Year: 2023, Volume and Issue: 2(2), P. 102 - 115

Published: Oct. 31, 2023

This paper delves into the realm of ChatGPT, an AI-powered chatbot that utilizes topic modeling and reinforcement learning to generate natural responses. Although ChatGPT holds immense promise across various industries, such as customer service, education, mental health treatment, personal productivity, content creation, it is essential address its security, privacy, ethical implications. By exploring upgrade path from GPT-1 GPT-4, discussing model's features, limitations, potential applications, this study aims shed light on risks integrating our daily lives. Focusing ethics issues, we highlight challenges these concerns pose for widespread adoption. Finally, analyze open problems in areas, calling concerted efforts ensure development secure ethically sound large language models.

Language: Английский

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ChatGPT in Healthcare: A Taxonomy and Systematic Review

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: March 30, 2023

Abstract The recent release of ChatGPT, a chat bot research project / product natural language processing (NLP) by OpenAI, stirs up sensation among both the general public and medical professionals, amassing phenomenally large user base in short time. This is typical example ‘productization’ cutting-edge technologies, which allows without technical background to gain firsthand experience artificial intelligence (AI), similar AI hype created AlphaGo (DeepMind Technologies, UK) self-driving cars (Google, Tesla, etc.). However, it crucial, especially for healthcare researchers, remain prudent amidst hype. work provides systematic review existing publications on use ChatGPT healthcare, elucidating ‘status quo’ applications, readers, professionals as well NLP scientists. biomedical literature database PubMed used retrieve published works this topic using keyword ‘ChatGPT’. An inclusion criterion taxonomy are further proposed filter search results categorize selected publications, respectively. It found through that current has achieved only moderate or ‘passing’ performance variety tests, unreliable actual clinical deployment, since not intended applications design. We conclude specialized models trained (bio)medical datasets still represent right direction pursue critical applications.

Language: Английский

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Decoding ChatGPT: A taxonomy of existing research, current challenges, and possible future directions

Journal of King Saud University - Computer and Information Sciences, Journal Year: 2023, Volume and Issue: 35(8), P. 101675 - 101675

Published: Aug. 2, 2023

Chat Generative Pre-trained Transformer (ChatGPT) has gained significant interest and attention since its launch in November 2022. It shown impressive performance various domains, including passing exams creative writing. However, challenges concerns related to biases trust persist. In this work, we present a comprehensive review of over 100 Scopus-indexed publications on ChatGPT, aiming provide taxonomy ChatGPT research explore applications. We critically analyze the existing literature, identifying common approaches employed studies. Additionally, investigate diverse application areas where found utility, such as healthcare, marketing financial services, software engineering, academic scientific writing, education, environmental science, natural language processing. Through examining these applications, gain valuable insights into potential addressing real-world challenges. also discuss crucial issues trustworthiness, emphasizing need for further development areas. Furthermore, identify future directions research, proposing solutions current speculating expected advancements. By fully leveraging capabilities can unlock across leading advancements conversational AI transformative impacts society.

Language: Английский

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Assessing the capabilities of ChatGPT to improve additive manufacturing troubleshooting

Advanced Industrial and Engineering Polymer Research, Journal Year: 2023, Volume and Issue: 6(3), P. 278 - 287

Published: March 16, 2023

This paper explores the potential of using Chat Generative Pre-trained Transformer (ChatGPT), a Large Language Model (LLM) developed by OpenAI, to address main challenges and improve efficiency Gcode generation process in Additive Manufacturing (AM), also known as 3D printing. The process, which controls movements printer's extruder layer-by-layer build is crucial step AM optimizing essential for ensuring quality final product reducing print time waste. ChatGPT can be trained on existing data generate optimized specific polymeric materials, printers, objects, well analyze optimize based various printing parameters such temperature, speed, bed fan wipe distance, extrusion multiplier, layer thickness, material flow. Here capability performing complex tasks related optimization was demonstrated. In particular performance tests were conducted evaluate ChatGPT's expertise technical matters, focusing evaluation detachment, warping, stringing issues Fused Filament Fabrication (FFF) methods thermoplastic polyurethane polymer feedstock material. work provides effective feedback assesses its use field. has revolutionize industry offering user-friendly interface utilizing machine learning algorithms accuracy optimal parameters. Furthermore, real-time capabilities lead significant savings, making more accessible cost-effective solution manufacturers industry.

Language: Английский

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