Unlocking the opportunities through ChatGPT Tool towards ameliorating the education system

BenchCouncil Transactions on Benchmarks Standards and Evaluations, Journal Year: 2023, Volume and Issue: 3(2), P. 100115 - 100115

Published: May 26, 2023

Artificial Intelligence (AI)-based ChatGPT developed by OpenAI is now widely accepted in several fields, including education. Students can learn about ideas and theories using this technology while generating content with it. built on State of the Art (SOA), like Deep Learning (DL), Natural Language Processing (NLP), Machine (ML), an extrapolation a class ML-NLP models known as Large Model (LLMs). It may be used to automate test assignment grading, giving instructors more time concentrate instruction. This utilised customise learning for kids, enabling them focus intently subject matter critical thinking excellent tool language lessons since it translate text from one another. provide lists vocabulary terms meanings, assisting students developing their proficiency resources. Personalised opportunities are ChatGPT's significant applications classroom. might include creating educational resources tailored student's unique interests, skills, goals. paper discusses need features education system. Further, identifies Using ChatGPT, educators design instructional materials specific each requirements skills based current trends. work at speed areas where they most support, resulting effective efficient environment. Both profit significantly Instructors save numerous duties technology. In future, will become powerful enhancing students' teachers' experience.

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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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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Enhancing Work Productivity through Generative Artificial Intelligence: A Comprehensive Literature Review

Sustainability, Journal Year: 2024, Volume and Issue: 16(3), P. 1166 - 1166

Published: Jan. 30, 2024

In this review, utilizing the PRISMA methodology, a comprehensive analysis of use Generative Artificial Intelligence (GAI) across diverse professional sectors is presented, drawing from 159 selected research publications. This study provides an insightful overview impact GAI on enhancing institutional performance and work productivity, with specific focus including academia, research, technology, communications, agriculture, government, business. It highlights critical role in navigating AI challenges, ethical considerations, importance analytical thinking these domains. The conducts detailed content analysis, uncovering significant trends gaps current applications projecting future prospects. A key aspect bibliometric which identifies dominant tools like Chatbots Conversational Agents, notably ChatGPT, as central to GAI’s evolution. findings indicate robust accelerating trend expected continue through 2024 beyond. Additionally, points potential directions, emphasizing need for improved design strategic long-term planning, particularly assessing its user experience various fields.

Language: Английский

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A study on ChatGPT for Industry 4.0: Background, potentials, challenges, and eventualities

Journal of Economy and Technology, Journal Year: 2023, Volume and Issue: 1, P. 127 - 143

Published: Aug. 24, 2023

ChatGPT is an Artificial Intelligence (AI)-powered Natural Language Processing (NLP) tool that comprehends and produces text in response to given commands. It can be adopted for various requirements, like answering our inquiries, assisting us with content creation, translating languages, more. The fourth industrial revolution, called "Industry 4.0," denotes a new production age focused on automation, digitalisation, real-time connectivity of systems. help Industry 4.0 variety ways. AI-driven process optimisation poised revolutionise by enhancing productivity, quality assurance, efficiency. For developing this paper, articles ChatGPT/ AI were identified through Scopus, ScienceDirect, Google Scholar ResearchGate. progresses due the incorporation cutting-edge technology AI, Machine Learning (ML), NLP Manufacturing operations are changing. language model becoming well-known daily use because its promising applications. In framework 4.0, it promises processes assist advancement boosting business productivity This paper studies major need 4.0. Various associated features, traits versatile competencies briefed. Finally, identifies discusses significant applications very flexible efficient method creating human-machine interfaces automatically generating text, which provides proper knowledge guidance employee. Applications include chatbots, virtual assistants, automated customer care, translation, production. future, will become effective communication automating

Language: Английский

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Use of ChatGPT: What does it mean for biology and environmental science?

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 888, P. 164154 - 164154

Published: May 16, 2023

Language: Английский

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Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects

Published: Nov. 16, 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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Analyzing the potential benefits and use cases of ChatGPT as a tool for improving the efficiency and effectiveness of business operations

BenchCouncil Transactions on Benchmarks Standards and Evaluations, Journal Year: 2023, Volume and Issue: 3(3), P. 100140 - 100140

Published: Sept. 1, 2023

The study addresses the potential benefits for companies of adopting ChatGPT, a popular chatbot built on large-scale transformer-based language model known as generative pre-trained transformer (GPT). Chatbots like ChatGPT may improve customer service, handle several client inquiries at once, and save operational costs. Moreover, automate regular processes order tracking billing, allowing human employees to focus more complex strategic responsibilities. Nevertheless, before deploying enterprises must carefully analyze its use cases restrictions, well strengths disadvantages. example, requires training data that is particular business domain might produce erroneous ambiguous findings. identifies areas deployment ChatGPT's possible in by drawing literature currently accessible massive models, artificial intelligence. Then, using PSI (Preference Selection Index) COPRAS (Complex Proportional Assessment) approaches, advantages are taken into account prioritized. By highlighting current trends industry, this editorial seeks provide insight present state employing research. also learn biases from create replies reinforce those biases. As result, train fine-tune specific operations, set explicit boundaries limitations use, implement appropriate security measures avoid malicious input. highlights research gap dearth outlining businesses, analyzing limits, offering insights how organizations capabilities enhance their operations.

Language: Английский

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ChatGPT and generative artificial intelligence: an exploratory study of key benefits and challenges in operations and supply chain management

International Journal of Production Research, Journal Year: 2023, Volume and Issue: 62(16), P. 5676 - 5696

Published: Dec. 20, 2023

ChatGPT and generative artificial intelligence (Gen-AI) are transforming firms supply chains. However, the empirical literature reporting benefits, challenges, outlook of these nascent technologies in operations chain management (OSCM) is limited. This study surveys current projects perceptions US (n = 119) UK 181) We found that range from proof-of-concept to full implementation, with a main focus on operational gains, such as improved customer satisfaction, cost minimisation, process efficiencies. The challenges concern data, technological organisational issues. Expected benefits dominated by savings enhanced experience, but also include increased automation sustainability. Industries were cluster around six groups according perceived implementation challenges. Our findings contribute emerging Gen-AI use OSCM, practice mapping outlook, maturity level

Language: Английский

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Unleashing the Power of Artificial Intelligence in Materials Design

Materials, Journal Year: 2023, Volume and Issue: 16(17), P. 5927 - 5927

Published: Aug. 30, 2023

The integration of artificial intelligence (AI) algorithms in materials design is revolutionizing the field engineering thanks to their power predict material properties, de novo with enhanced features, and discover new mechanisms beyond intuition. In addition, they can be used infer complex principles identify high-quality candidates more rapidly than trial-and-error experimentation. From this perspective, herein we describe how these tools enable acceleration enrichment each stage discovery cycle novel optimized properties. We begin by outlining state-of-the-art AI models design, including machine learning (ML), deep learning, informatics tools. These methodologies extraction meaningful information from vast amounts data, enabling researchers uncover correlations patterns within structures, compositions. Next, a comprehensive overview AI-driven provided its potential future prospects are highlighted. By leveraging such algorithms, efficiently search analyze databases containing wide range identification promising for specific applications. This capability has profound implications across various industries, drug development energy storage, where performance crucial. Ultimately, AI-based approaches poised revolutionize our understanding materials, ushering era accelerated innovation advancement.

Language: Английский

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