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

Journal of King Saud University - Computer and Information Sciences, Год журнала: 2023, Номер 35(8), С. 101675 - 101675

Опубликована: Авг. 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.

Язык: Английский

---

The diversification of methods for studying cell–cell interactions and communication

Nature Reviews Genetics, Год журнала: 2024, Номер 25(6), С. 381 - 400

Опубликована: Янв. 18, 2024

Язык: Английский

---

Automated data mining framework for building energy conservation aided by generative pre-trained transformers (GPT)

Energy and Buildings, Год журнала: 2024, Номер 305, С. 113877 - 113877

Опубликована: Янв. 2, 2024

Язык: Английский

---

Generative pre-trained transformers (GPT)-based automated data mining for building energy management: Advantages, limitations and the future

Energy and Built Environment, Год журнала: 2023, Номер 5(1), С. 143 - 169

Опубликована: Июнь 16, 2023

Advanced data mining methods have shown a promising capacity in building energy management. However, the past decade, such are rarely applied practice, since they highly rely on users to customize solutions according characteristics of target systems. Hence, major barrier is that practical applications remain laborious. It necessary enable computers human-like ability solve tasks. Generative pre-trained transformers (GPT) might be capable addressing this issue, as some GPT models GPT-3.5 and GPT-4 powerful abilities interaction with humans, code generation, inference common sense domain knowledge. This study explores potential most advanced model (GPT-4) three scenarios management, i.e., load prediction, fault diagnosis, anomaly detection. A performance evaluation framework proposed verify capabilities generating prediction codes, diagnosing device faults, detecting abnormal system operation patterns. demonstrated can automatically tasks domain, which overcomes domain. In exploration GPT-4, its advantages limitations also discussed comprehensively for revealing future research directions

Язык: Английский

---

Common Methods for Phylogenetic Tree Construction and Their Implementation in R

Bioengineering, Год журнала: 2024, Номер 11(5), С. 480 - 480

Опубликована: Май 11, 2024

A phylogenetic tree can reflect the evolutionary relationships between species or gene families, and they play a critical role in modern biological research. In this review, we summarize common methods for constructing trees, including distance methods, maximum parsimony, likelihood, Bayesian inference, tree-integration (supermatrix supertree). Here discuss advantages, shortcomings, applications of each method offer relevant codes to construct trees from molecular data using packages algorithms R. This review aims provide comprehensive guidance reference researchers seeking while also promoting further development innovation field. By offering clear concise overview different available, hope enable select most appropriate approach their specific research questions datasets.

Язык: Английский

---

Global insights and the impact of generative AI-ChatGPT on multidisciplinary: a systematic review and bibliometric analysis

Connection Science, Год журнала: 2024, Номер 36(1)

Опубликована: Май 16, 2024

In 2022, OpenAI's unveiling of generative AI Large Language Models (LLMs)- ChatGPT, heralded a significant leap forward in human-machine interaction through cutting-edge technologies. With its surging popularity, scholars across various fields have begun to delve into the myriad applications ChatGPT. While existing literature reviews on LLMs like ChatGPT are available, there is notable absence systematic (SLRs) and bibliometric analyses assessing research's multidisciplinary geographical breadth. This study aims bridge this gap by synthesising evaluating how has been integrated diverse research areas, focussing scope distribution studies. Through review scholarly articles, we chart global utilisation scientific domains, exploring contribution advancing paradigms adoption trends among different disciplines. Our findings reveal widespread endorsement multiple fields, with implementations healthcare (38.6%), computer science/IT (18.6%), education/research (17.3%). Moreover, our demographic analysis underscores ChatGPT's reach accessibility, indicating participation from 80 unique countries ChatGPT-related research, most frequent keyword occurrence, USA (719), China (181), India (157) leading contributions. Additionally, highlights roles institutions such as King Saud University, All Institute Medical Sciences, Taipei University pioneering dataset. not only sheds light vast opportunities challenges posed pursuits but also acts pivotal resource for future inquiries. It emphasises that (LLM) role revolutionising every field. The insights provided paper particularly valuable academics, researchers, practitioners disciplines, well policymakers looking grasp extensive impact technologies community.

Язык: Английский

---

ChatGPT in Education: Empowering Educators through Methods for Recognition and Assessment

Informatics, Год журнала: 2023, Номер 10(4), С. 87 - 87

Опубликована: Ноя. 29, 2023

ChatGPT is widely used among students, a situation that challenges educators. The current paper presents two strategies do not push educators into defensive role but can empower them. Firstly, we show, based on statistical analysis, use be recognized from certain keywords such as ‘delves’ and ‘crucial’. This insight allows to detect ChatGPT-assisted work more effectively. Secondly, illustrate assess texts written by students. latter topic was presented in interactive workshops provided educational specialists. results of the workshops, where prompts were tested live, indicated ChatGPT, targeted prompt used, good at recognizing errors consistent grading. Ethical copyright concerns raised well workshops. In conclusion, methods this may help fortify teaching computer scripts for live prompting are available enable give similar

Язык: Английский

---

Bioinformatics and biomedical informatics with ChatGPT: Year one review

Quantitative Biology, Год журнала: 2024, Номер 12(4), С. 345 - 359

Опубликована: Июнь 27, 2024

Abstract The year 2023 marked a significant surge in the exploration of applying large language model chatbots, notably Chat Generative Pre‐trained Transformer (ChatGPT), across various disciplines. We surveyed application ChatGPT bioinformatics and biomedical informatics throughout year, covering omics, genetics, text mining, drug discovery, image understanding, programming, education. Our survey delineates current strengths limitations this chatbot offers insights into potential avenues for future developments.

Язык: Английский

---

Scientific figures interpreted by ChatGPT: strengths in plot recognition and limits in color perception

npj Precision Oncology, Год журнала: 2024, Номер 8(1)

Опубликована: Апрель 5, 2024

Abstract Emerging studies underscore the promising capabilities of large language model-based chatbots in conducting basic bioinformatics data analyses. The recent feature accepting image inputs by ChatGPT, also known as GPT-4V(ision), motivated us to explore its efficacy deciphering scientific figures. Our evaluation with examples cancer research, including sequencing analysis, multimodal network-based drug repositioning, and tumor clonal evolution, revealed that ChatGPT can proficiently explain different plot types apply biological knowledge enrich interpretations. However, it struggled provide accurate interpretations when color perception quantitative analysis visual elements were involved. Furthermore, while chatbot draft figure legends summarize findings from figures, stringent proofreading is imperative ensure accuracy reliability content.

Язык: Английский

---

Large language model to multimodal large language model: A journey to shape the biological macromolecules to biological sciences and medicine

Molecular Therapy — Nucleic Acids, Год журнала: 2024, Номер 35(3), С. 102255 - 102255

Опубликована: Июнь 15, 2024

After ChatGPT was released, large language models (LLMs) became more popular. Academicians use or LLM for different purposes, and the of is increasing from medical science to diversified areas. Recently, multimodal (MLLM) has also become Therefore, we comprehensively illustrate MLLM a complete understanding. We aim simple extended reviews LLMs MLLMs broad category readers, such as researchers, students in fields, other academicians. The review article illustrates models, their working principles, applications fields. First, demonstrate technical concept LLMs, principle, Black Box, evolution LLMs. To explain discuss tokenization process, token representation, relationships. extensively application biological macromolecules, science, MLLMs. Finally, limitations, challenges, future prospects acts booster dose clinicians, primer molecular biologists, catalyst scientists, benefits

Язык: Английский

---