A SWOT analysis of ChatGPT: Implications for educational practice and research

Innovations in Education and Teaching International, Journal Year: 2023, Volume and Issue: 61(3), P. 460 - 474

Published: March 27, 2023

ChatGPT is an AI tool that has sparked debates about its potential implications for education. We used the SWOT analysis framework to outline ChatGPT's strengths and weaknesses discuss opportunities threats The include using a sophisticated natural language model generate plausible answers, self-improving capability, providing personalised real-time responses. As such, can increase access information, facilitate complex learning, decrease teaching workload, thereby making key processes tasks more efficient. are lack of deep understanding, difficulty in evaluating quality responses, risk bias discrimination, higher-order thinking skills. Threats education understanding context, threatening academic integrity, perpetuating discrimination education, democratising plagiarism, declining high-order cognitive provide agenda educational practice research times ChatGPT.

Language: Английский

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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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ChatGPT for healthcare services: An emerging stage for an innovative perspective

BenchCouncil Transactions on Benchmarks Standards and Evaluations, Journal Year: 2023, Volume and Issue: 3(1), P. 100105 - 100105

Published: Feb. 1, 2023

Generative Pretrained Transformer, often known as GPT, is an innovative kind of Artificial Intelligence (AI) which can produce writing that seems to have been written by a person. OpenAI created this AI language model called ChatGPT. It built using the GPT architecture and trained on large corpus text data respond natural inquiries resemble person's requirements. This technology has lots applications in healthcare. The need for accurate current one major obstacles adopting ChatGPT must access precise up-to-date medical provide trustworthy suggestions treatment options. might be accomplished ensuring used received from reliable sources updated regularly. Since sensitive information would involved, it will also crucial consider privacy security issues while utilising healthcare industry. paper briefs about its healthcare, significant Work Flow Dimensions typical features Healthcare domain. Finally, identified discussed comprehend conversational context contextually appropriate replies. Its effectiveness tool makes useful chatbots, virtual assistants, other applications. However, we see many limitations ethics, interpretation, accountability related privacy. Regarding specialised tasks like creation, translation, categorisation, summarisation, creating conversation systems, pre-trained data, somewhat satisfactory results expected. Moreover, utilised various Natural Language Processing (NLP) activities, including sentiment analysis, part-of-speech tagging, named entity identification.

Language: Английский

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Generative AI in Medicine and Healthcare: Promises, Opportunities and Challenges

Future Internet, Journal Year: 2023, Volume and Issue: 15(9), P. 286 - 286

Published: Aug. 24, 2023

Generative AI (artificial intelligence) refers to algorithms and models, such as OpenAI’s ChatGPT, that can be prompted generate various types of content. In this narrative review, we present a selection representative examples generative applications in medicine healthcare. We then briefly discuss some associated issues, trust, veracity, clinical safety reliability, privacy, copyrights, ownership, opportunities, e.g., AI-driven conversational user interfaces for friendlier human-computer interaction. conclude will play an increasingly important role healthcare it further evolves gets better tailored the unique settings requirements medical domain laws, policies regulatory frameworks surrounding its use start taking shape.

Language: Английский

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Academic integrity and artificial intelligence: is ChatGPT hype, hero or heresy?

Seminars in Nuclear Medicine, Journal Year: 2023, Volume and Issue: 53(5), P. 719 - 730

Published: May 22, 2023

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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Attention is all you need: utilizing attention in AI-enabled drug discovery

Briefings in Bioinformatics, Journal Year: 2023, Volume and Issue: 25(1)

Published: Nov. 22, 2023

Abstract Recently, attention mechanism and derived models have gained significant traction in drug development due to their outstanding performance interpretability handling complex data structures. This review offers an in-depth exploration of the principles underlying attention-based advantages discovery. We further elaborate on applications various aspects development, from molecular screening target binding property prediction molecule generation. Finally, we discuss current challenges faced application mechanisms Artificial Intelligence technologies, including quality, model computational resource constraints, along with future directions for research. Given accelerating pace technological advancement, believe that will increasingly prominent role anticipate these usher revolutionary breakthroughs pharmaceutical domain, significantly development.

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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A comprehensive survey of ChatGPT: Advancements, applications, prospects, and challenges

Meta-Radiology, Journal Year: 2023, Volume and Issue: 1(2), P. 100022 - 100022

Published: Sept. 1, 2023

Large Language Models (LLMs) especially when combined with Generative Pre-trained Transformers (GPT) represent a groundbreaking in natural language processing. In particular, ChatGPT, state-of-the-art conversational model user-friendly interface, has garnered substantial attention owing to its remarkable capability for generating human-like responses across variety of scenarios. This survey offers an overview delving into inception, evolution, and key technology. We summarize the fundamental principles that underpin encompassing introduction conjunction GPT LLMs. also highlight specific characteristics models details their impressive understanding generation capabilities. then applications ChatGPT few representative domains. parallel many advantages can provide, we discuss limitations challenges along potential mitigation strategies. Despite various controversial arguments ethical concerns, drawn significant from research industries academia very short period. The concludes envision promising avenues future field ChatGPT. It is worth noting knowing addressing faced by will mount way more reliable trustworthy agents years come.

Language: Английский

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Harnessing the Power of ChatGPT for Automating Systematic Review Process: Methodology, Case Study, Limitations, and Future Directions

Systems, Journal Year: 2023, Volume and Issue: 11(7), P. 351 - 351

Published: July 9, 2023

Systematic reviews (SR) are crucial in synthesizing and analyzing existing scientific literature to inform evidence-based decision-making. However, traditional SR methods often have limitations, including a lack of automation decision support, resulting time-consuming error-prone reviews. To address these limitations drive the field forward, we harness power revolutionary language model, ChatGPT, which has demonstrated remarkable capabilities various writing tasks. By utilizing ChatGPT’s natural processing abilities, our objective is automate streamline steps involved SR, explicitly focusing on search, screening, data extraction, content analysis. Therefore, methodology comprises four modules: (1) Preparation Boolean research terms article collection, (2) Abstract screening articles categorization, (3) Full-text filtering information (4) Content analysis identify trends, challenges, gaps, proposed solutions. Throughout each step, focus been providing quantitative analyses strengthen robustness review process. illustrate practical application method, chosen topic IoT applications water wastewater management quality monitoring due its critical importance dearth comprehensive this field. The findings demonstrate potential ChatGPT bridging gap between AI models, enhanced efficiency reliability processes. Notably, exhibits exceptional performance categorizing relevant articles, leading significant time effort savings. Our assessment reveals following: overall accuracy for discarding classification 88%, F-1 scores 91% respectively, compared expert assessments. suitability extraction. Overall, contributes valuable insights empowering researchers conduct more reliable while advancing knowledge decision-making across domains.

Language: Английский

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