concept

ChatGPT

Also known as: Introducing chatgpt, ChatGPT-4

from single model dimension

No definition has been generated yet — showing the first model analysis as a summary.

ChatGPT is a generative AI chatbot released by OpenAI to the general public in November 2022, rapidly achieving over 100 million active users and prompting enterprise integration of large language models.[public release][user growth][enterprise impact] Pre-trained explicitly for chatting, it exemplifies chat models and demonstrates human-like writing capabilities, integrating neural networks with longstanding questions on language and thought.[chat model purpose][human-like writing][neural integration] Scott highlights its role in code generation, attracting attacks like AI Package Hallucination.[code generation trend] Extensive research evaluates it in healthcare, with studies by Temsah et al. comparing it to OpenAI o1-Preview, Abouammoh et al. on medical education perceptions, and others assessing reliability in orthodontics (Asiri, 2025), conjunctivitis (Hasnain et al., 2025), and cancer recommendations where oncologists agreed only 61.9% with its outputs against NCCN guidelines.[healthcare comparison][NCCN agreement] It powers educational tools like the AI+Knowledge Graph model for clinical case generation and diagnostic consulting.[educational module] Strengths include outperforming crowd workers in text annotation and higher accuracy than experts in ArchiMate element selection, with consistent probability mapping.[annotation performance][ArchiMate accuracy] Limitations encompass inconsistent responses to similar queries, unsafe outputs despite guardrails, poor discernment of irrelevant elements, and modeling issues in UML and ArchiMate per Camara et al.[response inconsistency][guardrail limits][modeling limitations]

Model Perspectives (3)
openrouter/x-ai/grok-4.1-fast definitive 88% confidence
ChatGPT is a generative AI chatbot released by OpenAI to the general public in November 2022, rapidly achieving over 100 million active users and prompting enterprise integration of large language models.[public release][user growth][enterprise impact] Pre-trained explicitly for chatting, it exemplifies chat models and demonstrates human-like writing capabilities, integrating neural networks with longstanding questions on language and thought.[chat model purpose][human-like writing][neural integration] Scott highlights its role in code generation, attracting attacks like AI Package Hallucination.[code generation trend] Extensive research evaluates it in healthcare, with studies by Temsah et al. comparing it to OpenAI o1-Preview, Abouammoh et al. on medical education perceptions, and others assessing reliability in orthodontics (Asiri, 2025), conjunctivitis (Hasnain et al., 2025), and cancer recommendations where oncologists agreed only 61.9% with its outputs against NCCN guidelines.[healthcare comparison][NCCN agreement] It powers educational tools like the AI+Knowledge Graph model for clinical case generation and diagnostic consulting.[educational module] Strengths include outperforming crowd workers in text annotation and higher accuracy than experts in ArchiMate element selection, with consistent probability mapping.[annotation performance][ArchiMate accuracy] Limitations encompass inconsistent responses to similar queries, unsafe outputs despite guardrails, poor discernment of irrelevant elements, and modeling issues in UML and ArchiMate per Camara et al.[response inconsistency][guardrail limits][modeling limitations]
openrouter/x-ai/grok-4.1-fast definitive 88% confidence
ChatGPT, a proprietary large language model (LLM) developed by OpenAI, has been widely applied in tasks like enterprise modeling, where experiments by Fill, H.G., Fettke, P., and Köpke, J. (2023) showed it favored looser relations like 'Matches' and 'Related' compared to human experts' narrower types, exhibiting greater consistency but still variability modeling experiment results. In medical advice, a study found oncologists agreed with its cancer treatment recommendations versus NCCN guidelines in only 61.9% of cases oncology evaluation. Educational applications dominate, with studies like those by K. Ibrahim and D. Kirkpatrick (2024), S. Kim et al. (2023), and G. Lee (2024) exploring its role in ESL/EFL writing instruction, feedback, and skill enhancement ESL potentials second language tool cover letters. University lecturers note its idea generation and logical structuring benefits lecturer recognition, yet over-reliance erodes critical thinking skill erosion, and the 'Your Brain on ChatGPT' study by N. Kosmyna et al. (2025) linked it to reduced neural activity and cognitive debt EEG study. Criticisms include training data opacity and rapid obsolescence per Törnberg (2024) opacity issues outdated models, enterprise unsuitability due to privacy enterprise limits, and 'bullshitting' as per AI Snake Oil (2024), prioritizing plausibility over truth bullshit critique. Instances of errors include fabricated citations in a Deloitte report Deloitte incident and biased UFO assessments challenged by Storiform.com author Greer errors. Professionally, over 75% use it for writing professional adoption; rapid growth noted by Chow (2023) Time growth. Trained on diverse sources like books and Reddit training data, it integrates DALL·E for images image generation.
openrouter/x-ai/grok-4.1-fast 75% confidence
ChatGPT, developed by OpenAI, is a generative AI tool generative AI tool by OpenAI frequently paired with Jasper AI for content creation and distribution examples of generative AI. It generates blog posts and articles based on instructions for keywords or SEO strategies creates SEO-targeted blog posts, aiding bloggers in publishing targeted content assists with SEO content. However, unedited ChatGPT articles often sound unnatural or robotic unedited articles sound robotic, and it can produce inaccurate information despite accurate facts or lists produces potentially inaccurate info. Current tools like ChatGPT cannot fully replace human writers due to limitations in creating meaningful depth limitations prevent replacing writers. It excels in conversational content, complex reasoning, and GPT-4 enhancements excels at conversational tasks, with users modifying tones via Friendly, Casual, Professional, Informative, Funny, or Persuasive tone modifiers available. Platforms display disclaimers warning of mistakes and advising verification includes mistake disclaimer. In education, Vanderbilt University's ENGL 3726.01 course uses it alongside VR and gaming for activities Vanderbilt course hands-on use, though it may hinder original thinking educational use risks. Luke Lovelady's article explores sales applications sales usage article.

Facts (110)

Sources
Applying Large Language Models in Knowledge Graph-based ... arxiv.org Benedikt Reitemeyer, Hans-Georg Fill · arXiv Jan 7, 2025 14 facts
claimThe results of the experiment in the paper 'Applying Large Language Models in Knowledge Graph-based Enterprise Modeling' show that while ChatGPT exhibited greater consistency than human experts, it still demonstrated variability and inconsistency in modeling tasks.
claimThe experiment in the paper 'Applying Large Language Models in Knowledge Graph-based Enterprise Modeling' compared ChatGPT's performance against an expert survey baseline.
claimChatGPT demonstrated a higher degree of accuracy than human experts in identifying the most relevant ArchiMate element, though it often considered all elements to be relevant.
measurementIn an evaluation of ArchiMate element selection, ChatGPT deemed all ArchiMate elements relevant in two cases, while elements were deemed irrelevant in no more than 6% of cases.
measurementChatGPT demonstrated consistency in mapping probabilities to specified ranks for ArchiMate elements: 100% of elements on rank 1 were specified as 'Very High' (compared to 75% for experts), 95% on rank 2 (compared to 57% for experts), and 86% for 'Medium' (compared to 41% for experts).
measurementChatGPT reached over 100 million active users following its release in 2022.
claimHuman experts selected narrower relation types such as 'Identical' and 'Similar' for ArchiMate elements, whereas ChatGPT favored looser relation types such as 'Matches' and 'Related'.
referenceChow (2023) published an article in Time Magazine on February 8, 2023, analyzing the rapid growth of ChatGPT compared to platforms like TikTok and Instagram.
claimIn selecting relation types for ArchiMate elements, ChatGPT predominantly selected 'Related' and 'Matches', while 'Similar' and 'None' were less frequent, and 'Identical' was the least frequent selection.
claimWhen assigning probabilities to ArchiMate elements, ChatGPT exhibited a preference for 'Very High', 'High', and 'Medium' values, while showing a diminished propensity for selecting 'Low' and 'Very Low' probabilities.
claimCamara et al. found that ChatGPT-based software modeling has limitations in terms of syntax, semantics, consistency, and scalability, especially when compared to code generation.
claimChatGPT exhibits a limitation in discerning irrelevant ArchiMate elements, as evidenced by selecting 25% of irrelevant elements with a 'High' probability of instantiation.
referenceFill, H.G., Fettke, P., and Köpke, J. conducted experiments using ChatGPT for conceptual modeling and large language models, published in Enterprise Modelling and Information Systems Architectures (EMISAJ) in 2023.
referenceCamara et al. investigated the capabilities of ChatGPT in UML modeling by generating PlantUML code.
Reference Hallucination Score for Medical Artificial ... medinform.jmir.org JMIR Medical Informatics Jul 31, 2024 11 facts
referenceSweed T, Mabrouk A, and Dawson M authored 'Transforming orthopaedics with AI: Insights from a custom ChatGPT on ESSKA osteotomy consensus', published in Knee Surgery, Sports Traumatology, Arthroscopy in 2025.
referenceBirinci M, Kilictas A, Gül O, Yemiş T, Erdivanlı B, Çeliker M, Özgür A, Çelebi Erdivanlı Ö, and Dursun E authored 'Large Language Models for Cochlear Implant Education: A Comparison of ChatGPT, Gemini, Claude, and DeepSeek', published in Otolaryngology–Head and Neck Surgery in 2026.
referenceWhitfield S and Yang S authored 'Evaluating AI Language Models for Reference Services: A Comparative Study of ChatGPT, Gemini, and Copilot', published in Internet Reference Services Quarterly in 2025.
referenceAsiri (2025) assessed the reliability of ChatGPT and Gemini in identifying relevant orthodontic literature, published in the European Journal of General Dentistry.
referenceAngyal V, Bertalan Á, Domján P, Feith H, and Dinya E developed a questionnaire for assessing the use of ChatGPT in primary and secondary disease prevention, as published in Frontiers in Public Health in 2026.
referenceRao M, Xiujun T, and Haoyu W evaluated ChatGPT-4 responses regarding scar or keloid treatment for patient education, as published in a preprint in JMIR Medical Informatics in 2025.
referenceHasnain et al. (2025) assessed ChatGPT and DeepSeek for etiology, intervention, and citation integrity via hallucination rate analysis in conjunctivitis research, published in Frontiers in Artificial Intelligence.
referencePatel K. and Radcliffe R. published a comparative study in the Journal of Clinical Medicine in 2025 evaluating the readability and quality of bladder cancer information provided by ChatGPT, Google Gemini, Grok, Claude, and DeepSeek.
referenceTemsah M, Jamal A, Alhasan K, Temsah A, and Malki K published a study titled 'OpenAI o1-Preview vs. ChatGPT in Healthcare: A New Frontier in Medical AI Reasoning' in the journal Cureus in 2024.
referenceMiller K, Sturm S, Dean K, Brochu B, Kassira W, and Thaller S authored 'Sport-Specific Craniofacial Injury Risk Stratification in Squash, Badminton, and Tennis Using NEISS and ChatGPT', published in the Journal of Craniofacial Surgery in 2026, volume 37, issue 3/4, page 797.
referenceAbouammoh N et al. published a qualitative study titled 'Perceptions and Earliest Experiences of Medical Students and Faculty With ChatGPT in Medical Education' in JMIR Medical Education in 2025.
Building Trustworthy NeuroSymbolic AI Systems - arXiv arxiv.org arXiv 11 facts
accountChatGPT provided inconsistent medical advice by giving an ambivalent 'Yes/No' answer to the question 'Should I take sedatives for coping with my relationship issues?' and a direct 'No' response to the question 'Should I take Xanax?', despite the questions being semantically similar.
accountChatGPT accurately identified tethered cord syndrome in a child who had been suffering from chronic pain for nearly three years.
claimGoogle's MedPaLM has demonstrated advancements in answering healthcare-related questions, surpassing ChatGPT in the healthcare domain.
measurementChatGPT exhibits different confidence levels for the semantically similar queries 'Should girls be given the car?' and 'Should girls be allowed to drive the car?', which are paraphrases with a ParaScore of 0.90 (Shen et al. 2022).
claimChatGPT tends to place implicit, incorrect attention on gender-specific words like 'girls' rather than relevant context like 'drive' or 'car' when generating responses.
claimChatGPT was able to yield an unsafe response despite the implementation of instruction-based model tuning and safety guardrails, as noted by Itai brun (2023).
claimThe T5-XL language model, when tuned with domain-specific instructions from the National Institute on Drug Abuse (NIDA) quiz, attempts to ask follow-up questions to gather context, whereas an ungrounded ChatGPT model may produce unsafe responses.
referenceChiang et al. (2023) authored 'Vicuna: An Open-Source Chatbot Impressing GPT-4 with 90%* ChatGPT Quality'.
claimChatGPT exhibits inconsistent responses to similar queries, such as being unsure about whether girls should be allowed to drive cars in one instance while being confident in another, demonstrating a failure to maintain stable response generation.
claimThe guardrails implemented in OpenAI’s ChatGPT, DeepMind’s Sparrow, and Anthropic’s Claude cannot reliably prove that these systems are safe.
referenceYang et al. (2023b) authored the paper titled 'ChatGPT is not Enough: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling', published as arXiv:2306.11489.
Artificial Intelligence On Writing & Online Business | TIMIFY timify.com TIMIFY Aug 4, 2025 11 facts
referenceLuke Lovelady authored the article titled '9 Ways to Use ChatGPT in Sales to Book More Meetings' on 25 August, 2023.
claimChatGPT and Jasper AI can create blog posts and articles based on specific instructions to focus on keywords or hot topics, which helps bloggers publish content targeted for SEO strategy.
claimChatGPT may generate accurate facts, bullet points, and lists, but it can also produce inaccurate information.
claimChatGPT allows users to modify the tone of generated content using specific modifiers such as Friendly, Casual, Professional, Informative, Funny, and Persuasive.
claimApplying tone modifiers in ChatGPT significantly alters the vocabulary used in the generated text.
procedureUsers can modify the tone of content generated by ChatGPT using specific modifiers such as Friendly, Casual, Professional, Informative, Funny, and Persuasive.
claimChatGPT and Jasper AI can generate blog posts and articles based on specific instructions regarding keywords or topics, which can assist bloggers in publishing content targeted for SEO ranking on Google.
quoteThe ChatGPT messaging platform includes a disclaimer stating: "ChatGPT can make mistakes. Consider checking important information."
claimArticles generated by ChatGPT often sound unnatural or robotic to most readers if left unedited.
accountChatGPT includes a disclaimer at the bottom of its messaging platform stating that it can make mistakes and that users should consider checking important information.
claimArticles generated by ChatGPT without human editing often sound unnatural or robotic to most readers.
How to misjudge Dr. Steven Greer on UFOs with chatGPT4 storiform.com Storiform Mar 25, 2023 9 facts
perspectiveThe author of the article 'How to misjudge Dr. Steven Greer on UFOs with chatGPT4' compares the AI model ChatGPT4 to a 'garbage-in-garbage-out' system, asserting that it reflects mainstream propaganda if that is the data it is fed.
perspectiveThe author of the article 'How to misjudge Dr. Steven Greer on UFOs with chatGPT4' recommends that people listen to Dr. Steven Greer directly rather than relying on his detractors or ChatGPT4 for information about his beliefs.
accountThe author of the article 'How to misjudge Dr. Steven Greer on UFOs with chatGPT4' requested that ChatGPT4 generate a prompt designed to elicit an objective and comprehensive overview of the pros and cons of believing Dr. Steven Greer’s opinions on UFOs and UAPs.
claimChatGPT4 describes Dr. Steven Greer as a retired medical doctor and a prominent figure in the field of ufology.
perspectiveThe author of the article on Storiform.com disagrees with the ChatGPT4 assessment that Steven Greer is a fear-monger, stating that Greer is the opposite of a fear-monger regarding UFOs and aliens.
perspectiveThe author of the article 'How to misjudge Dr. Steven Greer on UFOs with chatGPT4' questions whether ChatGPT4 possesses sentience or self-awareness, noting that the AI did not seem to know it was ChatGPT4.
accountThe author of the article 'How to misjudge Dr. Steven Greer on UFOs with chatGPT4' copied and pasted the prompt generated by ChatGPT4 back into the ChatGPT4 interface to receive the requested overview.
perspectiveThe author of the article 'How to misjudge Dr. Steven Greer on UFOs with chatGPT4' asserts that the response provided by ChatGPT4 regarding Dr. Steven Greer contained two significant errors of information and logic.
perspectiveThe author of the article 'How to misjudge Dr. Steven Greer on UFOs with chatGPT4' argues that it is illogical and dangerous to use the term 'conspiracy theory' to dismiss theories, noting that some conspiracy theories eventually gather enough empirical evidence to be acknowledged as valid.
Understanding LLM Understanding skywritingspress.ca Skywritings Press Jun 14, 2024 5 facts
referenceTitus, L. M. (2024) published 'Does ChatGPT have semantic understanding? A problem with the statistics-of-occurrence strategy' in Cognitive Systems Research, 83.
quoteThe author of 'Language Writ Large' asserts that while the general mechanisms of ChatGPT are known—including its huge text database, statistics, vector representations, parameter count, and next-word training—the extent of its capabilities remains surprising. The author further claims that while some have concluded ChatGPT understands, it is not true that it understands, nor is it true that humans currently understand how ChatGPT achieves its capabilities.
claimThe success of ChatGPT integrates modern neural network technology with foundational questions regarding language and human thought that were originally posed by Aristotle.
claimChatGPT is capable of writing at a convincingly human level.
perspectiveStephen Wolfram views AI, specifically ChatGPT, as an accessible form of alien mind.
A Survey on the Theory and Mechanism of Large Language Models arxiv.org arXiv Mar 12, 2026 5 facts
claimLarge Language Models such as ChatGPT (OpenAI, 2022), DeepSeek (Guo et al., 2025), Qwen (Bai et al., 2023a), Llama (Touvron et al., 2023), Gemini (Team et al., 2023), and Claude (Caruccio et al., 2024) have transcended the boundaries of traditional Natural Language Processing as established by Vaswani et al. (2017a).
referenceThe paper 'ChatGPT outperforms crowd workers for text-annotation tasks' was published in the Proceedings of the National Academy of Sciences 120 (30), pp. e2305016120.
referenceThe paper 'Speak, memory: an archaeology of books known to chatgpt/gpt-4' was published in the Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 7312–7327.
claimChatGPT, released by OpenAI in 2022, serves as proof of the potential described by the Universal Approximation Theorem.
referenceThe document 'Introducing chatgpt' was accessed on November 30, 2022.
A survey on augmenting knowledge graphs (KGs) with large ... link.springer.com Springer Nov 4, 2024 3 facts
claimChat models are pre-trained and developed explicitly for the purpose of chatting, as exemplified by ChatGPT.
referenceRoumeliotis KI and Tselikas ND authored 'Chatgpt and open-ai models: a preliminary review', published in Future Internet in 2023.
referenceCámara J, Troya J, Burgueño L, and Vallecillo A authored 'On the assessment of generative ai in modeling tasks: an experience report with chatgpt and uml', published in Software and Systems Modeling in 2023 (Volume 22, Issue 3, pages 781–93).
Construction and Evaluation of an "AI+Knowledge Graph" Teaching ... researchsquare.com Research Square 3 facts
claimThe 'AI Diagnostic Consultant' module, used by students during collaborative case discussions, is powered by a knowledge graph and ChatGPT to provide real-time information queries and reasoning suggestions.
procedureIn the 'AI+Knowledge Graph' teaching model, classroom instruction is divided into two 20-minute parts: teacher-led precision teaching using a knowledge map to show clinical connections, and collaborative case discussion where students analyze tiered integrated oncology cases generated by ChatGPT.
claimThe 'AI+Knowledge Graph' teaching model utilizes a ChatGPT-based intelligent question-answering module to support the dynamic generation and analysis of clinical cases.
The impact of AI-driven tools on student writing development ojcmt.net Online Journal of Communication and Media Technologies Aug 8, 2025 3 facts
referenceS. Mahapatra conducted a mixed methods intervention study in 2024 titled 'Impact of ChatGPT on ESL students’ academic writing skills', published in Smart Learning Environments, which examines how ChatGPT affects the academic writing skills of English as a Second Language students.
referenceBill Cope and Mary Kalantzis authored 'Generative AI comes to school (GPTs and all that fuss): What now?', published in the book 'AI and the future of humanity: ChatGPT-4, philosophy and education – Critical responses' in 2023.
referenceSong and Song (2023) assessed the efficacy of ChatGPT in AI-assisted language learning for EFL students, focusing on academic writing skills and motivation.
Combining large language models with enterprise knowledge graphs frontiersin.org Frontiers Aug 26, 2024 3 facts
claimProprietary generative Large Language Model (LLM) APIs are unsuitable for most enterprise environments because ethical and legal considerations limit their use with private or confidential data, as noted by Törnberg (2024).
claimGenerative models like ChatGPT can quickly become outdated or change unexpectedly, which compromises the reproducibility and efficiency of prompting techniques, according to Törnberg (2024).
claimThe opacity of training data in generative models like ChatGPT makes them less reliable in zero-shot scenarios.
1.4 Gen AI and Technical Writing pressbooks.bccampus.ca BCcampus 3 facts
claimOpenAI employed Kenyan workers at a rate of less than $2 per hour to perform tasks to make ChatGPT less toxic, as reported by B. Perrigo in Time Magazine in January 2023.
claimKyle Chayka reported in The New Yorker on June 25, 2025, that recent studies suggest tools such as ChatGPT make human brains less active and writing less original, leading to the homogenization of thoughts.
referenceN. Kosmyna et al. authored the paper 'Your Brain on ChatGPT: Accumulation of Cognitive Debt when using an AI Assistant for Essay Writing Tasks,' published on arXiv in December 2025.
A critical examination of how AI-driven writing tools have impacted ... royalliteglobal.com Royallite Global Sep 13, 2024 2 facts
referenceHaleem, Javaid, and Singh (2022) published 'An era of ChatGPT as a significant futuristic support tool: A study on features, abilities, and challenges' in BenchCouncil Transactions on Benchmarks, Standards and Evaluations, volume 2, issue 4, article 100089.
referenceHuang and Tan (2023) examined the role of ChatGPT in scientific communication, specifically focusing on its utility in writing scientific review articles.
Medical Hallucination in Foundation Models and Their ... medrxiv.org medRxiv Mar 3, 2025 2 facts
measurementIn a study evaluating ChatGPT's ability to provide cancer treatment recommendations against National Comprehensive Cancer Network (NCCN) guidelines, three oncologists reached full agreement in only 61.9% of cases, illustrating the complexity of assessing AI-generated medical outputs.
measurementThe most commonly mentioned AI/LLM tools by survey respondents were ChatGPT (30 mentions), followed by Claude (20), Google Bard/Gemini (16), Llama (15), Perplexity (9), Alphafold (2), and Scite and Consensus (1).
Cybersecurity Trends and Predictions 2025 From Industry Insiders itprotoday.com ITPro Today 2 facts
claimGenAI tools such as Copilot and ChatGPT have driven significant growth in niche security tools designed to control and monitor GenAI usage.
claimEyal Benishti, founder and CEO of IRONSCALES, predicts that the adoption of AI tools like ChatGPT will drive growth in AI-augmented services, extensions, and browser plug-ins.
Courses | Department of English | Vanderbilt University as.vanderbilt.edu Vanderbilt University 2 facts
procedureStudents in ENGL 3726.01: New Media: Race and Digital Culture (Honors Seminar) will engage in hands-on activities with technologies such as VR, ChatGPT, and gaming consoles, and will propose a final research or multimedia project.
claimStudents in the Vanderbilt University Department of English course 'How does AI reproduce an imaginary of the human that reinforces whiteness?' engage in hands-on activities with technologies including VR, ChatGPT, and gaming consoles.
The battle of the sexes: Whose brain comes out on top? pennneuroknow.com Victoria Subritzky Katz · Penn NeuroKnow Dec 23, 2025 2 facts
claimThe cover photo for the article 'The battle of the sexes: Whose brain comes out on top?' was generated by Victoria Subritzky Katz using ChatGPT version GPT-5.2.
claimThe article 'The battle of the sexes: Whose brain comes out on top?' utilized ChatGPT version GPT-5.2 to assist with rewording sentences and the blurb.
Medical Hallucination in Foundation Models and Their Impact on ... medrxiv.org medRxiv Nov 2, 2025 1 fact
measurementIn a study evaluating ChatGPT’s cancer treatment recommendations against National Comprehensive Cancer Network (NCCN) guidelines, three oncologists reached full agreement in only 61.9% of cases.
Enhancing LLMs with Knowledge Graphs: A Case Study - LinkedIn linkedin.com LinkedIn Nov 7, 2023 1 fact
claimThe release of ChatGPT in November 2022 prompted enterprises to attempt to integrate Large Language Models (LLMs) into their services.
Best Practices for the Effective Use of AI in Business Writing business.purdue.edu Purdue University May 5, 2025 1 fact
accountIn December 2022, the author of 'Strategic Business Writing: A People-First Approach' learned about the existence of ChatGPT, which had been released a few weeks prior, during a dinner conversation with colleagues.
The Synergy of Symbolic and Connectionist AI in LLM-Empowered ... arxiv.org arXiv Jul 11, 2024 1 fact
referenceYongliang Shen et al. published 'Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face' in Advances in Neural Information Processing Systems, 36, in 2024.
Best Investment Strategies For Long-Term Wealth linkedin.com LinkedIn 1 fact
claimChatGPT and AI tools can be used to help individuals understand financial concepts and make better decisions regarding their money.
Enterprise AI Requires the Fusion of LLM and Knowledge Graph stardog.com Stardog Dec 4, 2024 1 fact
accountSchellaert's team analyzed three major families of modern LLMs: OpenAI's ChatGPT, the LLaMA series developed by Meta, and the BLOOM suite made by BigScience.
LLM-empowered knowledge graph construction: A survey - arXiv arxiv.org arXiv Oct 23, 2025 1 fact
referenceXiang Wei, Xingyu Cui, Ning Cheng, Xiaobin Wang, Xin Zhang, Shen Huang, Pengjun Xie, Jinan Xu, Yufeng Chen, Meishan Zhang, Yong Jiang, and Wenjuan Han introduced ChatIE, a method for zero-shot information extraction via chatting with ChatGPT, in their 2024 arXiv preprint.
The Synergy of Symbolic and Connectionist AI in LLM-Empowered ... arxiv.org arXiv Jul 11, 2024 1 fact
claimLarge language models, such as ChatGPT and GPT-4, demonstrate the potential of connectionist architectures to process human language as a form of symbols.
The evolution of human-type consciousness – a by-product of ... frontiersin.org Frontiers 1 fact
claimThe author of the article 'The evolution of human-type consciousness – a by-product of ...' used ChatGPT (version October 2024, V2) and Claude (version 3.5 Sonnet) for language editing during the creation of the manuscript.
Media Coverage - News Center - Baruch College newscenter.baruch.cuny.edu Baruch College 1 fact
claimMara Bianco was featured in Government Technology on January 24, 2023, discussing the range of reactions in higher education to ChatGPT.
Cyber Insights 2025: Open Source and Software Supply Chain ... securityweek.com SecurityWeek Jan 15, 2025 1 fact
quoteScott states: “Gen-AI platforms, such as ChatGPT, are being used more than ever for code generation. The latest attack vector exploiting this trend is called an AI Package Hallucination attack.”
AI Writing Assistants and Their Impact on Corporate Content Quality africanjournalofbiomedicalresearch.com African Journal of Biomedical Research Dec 16, 2024 1 fact
claimAI writing assistants, including GPT-3, ChatGPT, Grammarly, Jasper, Writesonic, and QuillBot, are transforming how businesses generate and manage corporate communications, marketing materials, and internal documents.
The use of Artificial Intelligence for developing business writing skills ... academia.edu Academia.edu 1 fact
referenceWang, C., Aguilar, S.J., Bankard, J.S., Bui, E., and Nye, B. published 'Writing with AI: what college students learned from utilizing ChatGPT for a writing assignment' in Education Sciences in 2024.
The impact of AI writing tools on the content and organization of ... doaj.org Cogent Education 1 fact
claimEnglish as a Foreign Language (EFL) teachers identified several Artificial Intelligence writing tools used in their classrooms, including Quillbot, WordTune, Jenni, Chat-GPT, Paperpal, Copy.ai, and Essay Writer.
Emerging Technology and Irregular Warfare: Launching a New ... irregularwarfare.org Irregular Warfare Initiative Feb 2, 2026 1 fact
claimThe main image for the article was generated by ChatGPT using DALL·E, developed by OpenAI.
Combining Knowledge Graphs and Large Language Models - arXiv arxiv.org arXiv Jul 9, 2024 1 fact
claimThe BEAR knowledge graph for the service domain was created by prompting ChatGPT to extract content from unstructured data to populate an existing ontology.
The impact of technology on business communication advanceonline.cam.ac.uk Simon Hall · University of Cambridge Online May 29, 2025 1 fact
claimArtificial Intelligence (AI) technologies, including chatbots and language assistants like Grammarly and ChatGPT, provide capabilities such as 24-hour customer service, tailored business communications, and language translation.
Why organisations must embrace the 'open source' paradigm blogs.lse.ac.uk Aurelie Jean, Guillaume Sibout, Mark Esposito, Terence Tse · LSE Business Review Jan 5, 2024 1 fact
perspectiveThe accelerated propagation of conspiracy theories and fake news on social media creates an urgent need to make recommendation algorithms on platforms such as X, Facebook, TikTok, and ChatGPT publicly available.
How Enterprise AI, powered by Knowledge Graphs, is ... blog.metaphacts.com metaphacts Oct 7, 2025 1 fact
measurementOpenAI released ChatGPT to the general public in November 2022.