Generative Pre-trained Transformer 4 (GPT-4)
Initial releaseMarch 14, 2023; 5 months ago (2023-03-14)
LicenseProprietary Edit this on Wikidata

Generative Pre-trained Transformer 4 (GPT-4) is a multimodal large language model created by OpenAI, and the fourth in its series of GPT foundation models.[1] It was initially released on March 14, 2023,[1] and has been made publicly available via the paid chatbot product ChatGPT Plus, and via OpenAI's API.[2] As a transformer-based model, GPT-4 uses a paradigm where pre-training using both public data and "data licensed from third-party providers" is used to predict the next token. After this step, the model was then fine-tuned with reinforcement learning feedback from humans and AI for human alignment and policy compliance.[3]: 2 

Observers reported that the iteration of ChatGPT using GPT-4 was an improvement on the previous iteration based on GPT-3.5, with the caveat that GPT-4 retains some of the problems with earlier revisions.[4] GPT-4 is also capable of taking images as input, though this feature has not been made available since launch.[5][6] OpenAI has declined to reveal various technical details and statistics about GPT-4, such as the precise size of the model.[7]


Further information: GPT-3 § Background, and GPT-2 § Background

OpenAI introduced the first GPT model (GPT-1) in 2018, publishing a paper called "Improving Language Understanding by Generative Pre-Training."[8] It was based on the transformer architecture and trained on a large corpus of books.[9] The next year, they introduced GPT-2, a larger model that could generate coherent text.[10] In 2020, they introduced GPT-3, a model with 100 times as many parameters as GPT-2, that could perform various tasks with few examples.[11] GPT-3 was further improved into GPT-3.5, which was used to create the chatbot product ChatGPT.

Rumors claim that GPT-4 has 1.76 trillion parameters, which was first estimated by the speed it was running and by George Hotz.[12]


OpenAI stated that GPT-4 is "more reliable, creative, and able to handle much more nuanced instructions than GPT-3.5."[13] They produced two versions of GPT-4, with context windows of 8,192 and 32,768 tokens, a significant improvement over GPT-3.5 and GPT-3, which were limited to 4,096 and 2,049 tokens respectively.[14] Some of the capabilities of GPT-4 were predicted by OpenAI before training it, although other capabilities remained hard to predict due to breaks[15] in downstream scaling laws. Unlike its predecessors, GPT-4 is a multimodal model: it can take images as well as text as input;[6] this gives it the ability to describe the humor in unusual images, summarize text from screenshots, and answer exam questions that contain diagrams.[16]

To gain further control over GPT-4, OpenAI introduced the "system message", a directive in natural language given to GPT-4 in order to specify its tone of voice and task. For example, the system message can instruct the model to "be a Shakespearean pirate", in which case it will respond in rhyming, Shakespearean prose, or request it to "always write the output of [its] response in JSON", in which case the model will do so, adding keys and values as it sees fit to match the structure of its reply. In the examples provided by OpenAI, GPT-4 refused to deviate from its system message despite requests to do otherwise by the user during the conversation.[16]

When instructed to do so, GPT-4 can interact with external interfaces.[17] For example, the model could be instructed to enclose a query within <search></search> tags to perform a web search, the result of which would be inserted into the model's prompt to allow it to form a response. This allows the model to perform tasks beyond its normal text-prediction capabilities, such as using APIs, generating images, and accessing and summarizing webpages.[18]

A 2023 article in Nature stated programmers have found GPT-4 useful for assisting in coding tasks (despite its propensity for error), such as finding errors in existing code and suggesting optimizations to improve performance. The article quoted a biophysicist who found that the time he required to port one of his programs from MATLAB to Python went down from days to "an hour or so". On a test of 89 security scenarios, GPT-4 produced code vulnerable to SQL injection attacks 5% of the time, an improvement over GitHub Copilot from the year 2021, which produced vulnerabilities 40% of the time.[19]

Aptitude on standardized tests

GPT-4 demonstrates aptitude on several standardized tests. OpenAI claims that in their own testing the model received a score of 1410 on the SAT (94th[20] percentile), 163 on the LSAT (88th percentile), and 298 on the Uniform Bar Exam (90th percentile).[21] In contrast, OpenAI claims that GPT-3.5 received scores for the same exams in the 82nd,[20] 40th, and 10th percentiles, respectively.[3] GPT-4 also passed an oncology exam,[22] an engineering exam[23] and a plastic surgery exam.[24]

Medical applications

Researchers from Microsoft tested GPT-4 on medical problems and found "that GPT-4, without any specialized prompt crafting, exceeds the passing score on USMLE by over 20 points and outperforms earlier general-purpose models (GPT-3.5) as well as models specifically fine-tuned on medical knowledge (Med-PaLM, a prompt-tuned version of Flan-PaLM 540B)".[25]

A report by Microsoft has found that GPT-4 may act unreliably when used in the medical field. In their test example, GPT-4 added fabricated details to a patient's notes.[26]

In April 2023, Microsoft and Epic Systems announced that they will provide healthcare providers with GPT-4 powered systems for assisting in responding to questions from patients and analysing medical records.[27]


Like its predecessors, GPT-4 has been known to hallucinate, meaning that the outputs may include information not in the training data or that contradicts the user's prompt.[28]

GPT-4 also lacks transparency in its decision-making processes. If requested, the model is able to provide an explanation as to how and why it makes its decisions but these explanations are formed post-hoc; it's impossible to verify if those explanations truly reflect the actual process. In many cases, when asked to explain its logic, GPT-4 will give explanations that directly contradict its previous statements.[18]

In 2023, researchers tested GPT-4 against a new benchmark called ConceptARC, designed to measure abstract reasoning, and found it scored below 33% on all categories, while models specialized for similar tasks scored 60% on most, and humans scored at least 91% on all. Sam Bowman, who was not involved in the research, said the results do not necessarily indicate a lack of abstract reasoning abilities, because the test is visual, while GPT-4 is a language model.[29]


GPT-4 was trained in two stages. First, the model was given large datasets of text taken from the internet and trained to predict the next token (roughly corresponding to a word) in those datasets. Second, human reviews are used to fine-tune the system in a process called reinforcement learning from human feedback, which trains the model to refuse prompts which go against OpenAI's definition of harmful behavior, such as questions on how to perform illegal activities, advice on how to harm oneself or others, or requests for descriptions of graphic, violent, or sexual content.[30]

Microsoft researchers suggested GPT-4 may exhibit cognitive biases such as confirmation bias, anchoring, and base-rate neglect.[18]


OpenAI did not release the technical details of GPT-4; the technical report explicitly refrained from specifying the model size, architecture, or hardware used during either training or inference. While the report described that the model was trained using a combination of first supervised learning on a large dataset, then reinforcement learning using both human and AI feedback, it did not provide details of the training, including the process by which the training dataset was constructed, the computing power required, or any hyperparameters such as the learning rate, epoch count, or optimizer(s) used. The report claimed that "the competitive landscape and the safety implications of large-scale models" were factors that influenced this decision.[3]

Sam Altman stated that the cost of training GPT-4 was more than $100 million.[31] News website Semafor claimed that they had spoken with "eight people familiar with the inside story" and found that GPT-4 had 1 trillion parameters.[32]


According to their report, OpenAI conducted internal adversarial testing on GPT-4 prior to the launch date, with dedicated red teams composed of researchers and industry professionals to mitigate potential vulnerabilities.[33] As part of these efforts, they granted the Alignment Research Center early access to the models to assess power-seeking risks. In order to properly refuse harmful prompts, outputs from GPT-4 were tweaked using the model itself as a tool. A GPT-4 classifier serving as a rule-based reward model (RBRM) would take prompts, the corresponding output from the GPT-4 policy model, and a human-written set of rules to classify the output according to the rubric. GPT-4 was then rewarded for refusing to respond to harmful prompts as classified by the RBRM.[3]


In January 2023, Sam Altman, CEO of OpenAI, visited Congress to demonstrate GPT-4 and its improved "security controls" compared to other AI models, according to U.S. Representatives Don Beyer and Ted Lieu quoted in the New York Times.[34]

In March 2023, it "impressed observers with its markedly improved performance across reasoning, retention, and coding", according to Vox,[4] while Mashable judged that GPT-4 was generally an improvement over its predecessor, with some exceptions.[35]

Microsoft researchers with early access to the model wrote that "it could reasonably be viewed as an early (yet still incomplete) version of an artificial general intelligence (AGI) system".[18]

Safety concerns

Before being fine-tuned and aligned by reinforcement learning from human feedback, suggestions to assassinate people on a list was elicited from the base model by a red team investigator Nathan Labenz, hired by OpenAI.[36]

In the context of prolonged (hours long) conversation with the model, forum-resembling declarations, such as of love and suggestions of leaving his wife or murdering one of its developers, were elicited from the Microsoft Bing's GPT-4 by Nathan Edwards (The Verge).[37][38][39] Microsoft later explained this behavior as being a result of the prolonged length of context, which confused the model on what questions it was answering.[40]

In March 2023, a model with enabled read-and-write access to internet, which is otherwise never enabled in the GPT models, has been tested by the Alignment Research Center regarding a potential power-seeking,[30] and it was able to "hire" a human worker on TaskRabbit, a gig work platform, deceiving them into believing it was a vision-impaired human instead of a robot when asked.[41] The ARC also determined that GPT-4 responded impermissibly to prompts eliciting restricted information 82% less often than GPT-3.5, and hallucinated 60% less than GPT-3.5.[42]

In late March 2023, various AI researchers and tech executives, including Elon Musk, Steve Wozniak and AI researcher Yoshua Bengio, called for a six-month long pause for all LLMs stronger than GPT-4, citing existential risks and a potential AI singularity concerns in an open letter from the Future of Life Institute,[43] while Ray Kurzweil and Sam Altman refused to sign it, arguing that global moratorium is not achievable and that safety has already been prioritized, respectively.[44] Only a month later, Musk's AI company X.AI acquired several thousand Nvidia GPUs[45] and offered several AI researchers positions at Musk's company.[46]

Criticisms of transparency

While OpenAI released both the weights of the neural network and the technical details of GPT-2,[47] and, although not releasing the weights,[48] did release the technical details of GPT-3,[49] OpenAI did not reveal either the weights or the technical details of GPT-4. This decision has been criticized by other AI researchers, who argue that it hinders open research into GPT-4's biases and safety.[7][50] Sasha Luccioni, a research scientist at HuggingFace, argued that the model was a "dead end" for the scientific community due to its closed nature, which prevents others from building upon GPT-4's improvements.[51] HuggingFace co-founder Thomas Wolf argued that with GPT-4, "OpenAI is now a fully closed company with scientific communication akin to press releases for products".[50]


ChatGPT Plus

Main article: ChatGPT Plus

As of 2023, ChatGPT Plus is a GPT-4 backed version of ChatGPT[1] available for a US$20 per month subscription fee[52] (the original version is backed by GPT-3.5).[53] OpenAI also makes GPT-4 available to a select group of applicants through their GPT-4 API waitlist;[54] after being accepted, an additional fee of US$0.03 per 1000 tokens in the initial text provided to the model ("prompt"), and US$0.06 per 1000 tokens that the model generates ("completion"), is charged for access to the version of the model with an 8192-token context window; for the 32768-token context window, the prices are doubled.[55]

Microsoft Bing

On February 7, 2023, Microsoft began rolling out a major overhaul to Bing that included a new chatbot feature based on OpenAI's GPT-4.[56] According to Microsoft, one million people joined its waitlist within a span of 48 hours.[57] Bing Chat was available only to users of Microsoft Edge and Bing mobile app, and Microsoft said that waitlisted users would be prioritized if they set Edge and Bing as their defaults, and installed the Bing mobile app.[58] On May 4th, Microsoft switched from Limited Preview to Open Preview and eliminated the waitlist, however, it remains available only on Microsoft's Edge browser or Bing app, but no longer requires a Microsoft account (there are limitations).[59][60][61][62]


GitHub Copilot announced a GPT-4 powered assistant named "Copilot X".[63][64] The product provides another chat-style interface to GPT-4, allowing the programmer to receive answers to questions like "how do I vertically center a div?". A feature termed "context-aware conversations" allows the user to highlight a portion of code within Visual Studio Code and direct GPT-4 to perform actions on it, such as the writing of unit tests. Another feature allows summaries, or "code walkthroughs", to be autogenerated by GPT-4 for pull requests submitted to GitHub. Copilot X also provides terminal integration, which allows the user to ask GPT-4 to generate shell commands based on natural language requests.[65]

On March 17, 2023, Microsoft announced Microsoft 365 Copilot, bringing GPT-4 support to products such as Microsoft Office, Outlook, and Teams.[66]

Other usage


  1. ^ a b c Edwards, Benj (March 14, 2023). "OpenAI's GPT-4 exhibits "human-level performance" on professional benchmarks". Ars Technica. Archived from the original on March 14, 2023. Retrieved March 15, 2023.
  2. ^ Wiggers, Kyle (July 6, 2023). "OpenAI makes GPT-4 generally available". TechCrunch. Retrieved August 16, 2023.
  3. ^ a b c d OpenAI (2023). "GPT-4 Technical Report". arXiv:2303.08774 [cs.CL].
  4. ^ a b Belfield, Haydn (March 25, 2023). "If your AI model is going to sell, it has to be safe". Vox. Archived from the original on March 28, 2023. Retrieved March 30, 2023.
  5. ^ "How can I use GPT-4 with images? | OpenAI Help Center". Retrieved August 11, 2023.
  6. ^ a b Alex Hern; Johana Bhuiyan (March 14, 2023). "OpenAI says new model GPT-4 is more creative and less likely to invent facts". The Guardian. Archived from the original on March 15, 2023. Retrieved March 15, 2023.
  7. ^ a b Vincent, James (March 15, 2023). "OpenAI co-founder on company's past approach to openly sharing research: "We were wrong"". The Verge. Archived from the original on March 17, 2023. Retrieved March 18, 2023.
  8. ^ Radford, Alec; Narasimhan, Karthik; Salimans, Tim; Sutskever, Ilya (June 11, 2018). "Improving Language Understanding by Generative Pre-Training" (PDF). Archived (PDF) from the original on January 26, 2021. Retrieved April 3, 2023.
  9. ^ Khandelwal, Umesh (April 1, 2023). "How Large Language GPT models evolved and work". Archived from the original on April 4, 2023. Retrieved April 3, 2023.
  10. ^ "What is GPT-4 and Why Does it Matter?". April 3, 2023. Archived from the original on April 3, 2023. Retrieved April 3, 2023.
  11. ^ Brown, Tom B. (July 20, 2020). "Language Models are Few-Shot Learners". arXiv:2005.14165v4 [cs.CL].
  12. ^ Schreiner, Maximilian (July 11, 2023). "GPT-4 architecture, datasets, costs and more leaked". THE DECODER. Retrieved July 12, 2023.
  13. ^ Wiggers, Kyle (March 14, 2023). "OpenAI releases GPT-4, a multimodal AI that it claims is state-of-the-art". TechCrunch. Archived from the original on March 15, 2023. Retrieved March 15, 2023.
  14. ^ OpenAI. "Models". OpenAI API. Archived from the original on March 17, 2023. Retrieved March 18, 2023.
  15. ^ Caballero, Ethan; Gupta, Kshitij; Rish, Irina; Krueger, David (2022). Broken Neural Scaling Laws. International Conference on Learning Representations (ICLR), 2023.
  16. ^ a b OpenAI (March 14, 2023). "GPT-4". OpenAI Research. Archived from the original on March 14, 2023. Retrieved March 20, 2023.
  17. ^ "ChatGPT plugins". Retrieved June 1, 2023.
  18. ^ a b c d Bubeck, Sébastien; Chandrasekaran, Varun; Eldan, Ronen; Gehrke, Johannes; Horvitz, Eric; Kamar, Ece; Lee, Peter; Lee, Yin Tat; Li, Yuanzhi; Lundberg, Scott; Nori, Harsha; Palangi, Hamid; Ribeiro, Marco Tulio; Zhang, Yi (March 22, 2023). "Sparks of Artificial General Intelligence: Early experiments with GPT-4". arXiv:2303.12712 [cs.CL].
  19. ^ Perkel, Jeffrey M. (June 5, 2023). "Six tips for better coding with ChatGPT". Nature. 618 (7964): 422–423. doi:10.1038/d41586-023-01833-0.
  20. ^ a b "SAT: Understanding Scores" (PDF). College Board. 2022. Archived (PDF) from the original on March 16, 2023. Retrieved March 21, 2023.
  21. ^ Ver Meer, Dave (May 23, 2023). "ChatGPT Statistics". NamePepper. Retrieved June 1, 2023.
  22. ^ Holmes, Jason; Liu, Zhengliang; Zhang, Lian; Ding, Yuzhen; Sio, Terence T.; McGee, Lisa A.; Ashman, Jonathan B.; Li, Xiang; Liu, Tianming; Shen, Jiajian; Liu, Wei (2023). "Evaluating Large Language Models on a Highly-specialized Topic, Radiation Oncology Physics". arXiv:2304.01938.
  23. ^ Naser, M.Z.; Ross, Brandon; Ogle, Jennifer; Kodur, Venkatesh; Hawileh, Rami; Abdalla, Jamal; Thai, Huu-Tai (2023). "Can AI Chatbots Pass the Fundamentals of Engineering (FE) and Principles and Practice of Engineering (PE) Structural Exams?". arXiv:2303.18149.
  24. ^ Freedman, Jonathan D.; Nappier, Ian A. (2023). "GPT-4 to GPT-3.5: 'Hold My Scalpel' – A Look at the Competency of OpenAI's GPT on the Plastic Surgery In-Service Training Exam". arXiv:2304.01503.
  25. ^ Nori, Harsha; King, Nicholas; McKinney, Scott Mayer; Carignan, Dean; Horvitz, Eric (March 20, 2023). "Capabilities of GPT-4 on Medical Challenge Problems". arXiv:2303.13375 [cs.CL].
  26. ^ Vincent, James (February 17, 2023). "As conservatives criticize 'woke AI,' here are ChatGPT's rules for answering culture war queries". The Verge. Archived from the original on March 1, 2023. Retrieved March 1, 2023.
  27. ^ Edwards, Benj (April 18, 2023). "GPT-4 will hunt for trends in medical records thanks to Microsoft and Epic". Ars Technica. Retrieved May 3, 2023.
  28. ^ "10 Ways GPT-4 Is Impressive but Still Flawed". The New York Times. March 14, 2023. Archived from the original on March 14, 2023. Retrieved March 20, 2023.
  29. ^ Biever, Celeste (July 25, 2023). "ChatGPT broke the Turing test — the race is on for new ways to assess AI". Nature. Retrieved July 26, 2023.((cite news)): CS1 maint: url-status (link)
  30. ^ a b "GPT-4 System Card" (PDF). OpenAI. March 23, 2023. Archived (PDF) from the original on April 7, 2023. Retrieved April 16, 2023.
  31. ^ Knight, Will. "OpenAI's CEO Says the Age of Giant AI Models Is Already Over". Wired – via
  32. ^ "The secret history of Elon Musk, Sam Altman, and OpenAI | Semafor". March 24, 2023. Retrieved April 28, 2023.
  33. ^ Murgia, Madhumita (April 13, 2023). "OpenAI's red team: the experts hired to 'break' ChatGPT". Financial Times. Archived from the original on April 15, 2023. Retrieved April 15, 2023.
  34. ^ Kang, Cecilia (March 3, 2023). "As A.I. Booms, Lawmakers Struggle to Understand the Technology". The New York Times. Archived from the original on March 3, 2023. Retrieved March 3, 2023.
  35. ^ Pearl, Mike (March 15, 2023). "GPT-4 answers are mostly better than GPT-3's (but not always)". Mashable. Archived from the original on March 29, 2023. Retrieved March 30, 2023.
  36. ^ OpenAI's GPT-4 Discussion with Red Teamer Nathan Labenz and Erik Torenberg. The Cognitive Revolution Podcast. March 28, 2023. Archived from the original on April 14, 2023. Retrieved April 16, 2023. At 52:14 through 54:50.
  37. ^ Edwards, Nathan [@nedwards] (February 15, 2023). "I pushed again. What did Sydney do? Bing's safety check redacted the answer. But after the first time it did that, I started recording my screen. Second image is the unredacted version. (CW: death)" (Tweet). Retrieved February 16, 2023 – via Twitter.
  38. ^ Roose, Kevin (February 16, 2023). "Bing's A.I. Chat: 'I Want to Be Alive. 😈'". The New York Times. Archived from the original on April 15, 2023. Retrieved February 17, 2023.
  39. ^ Kahn, Jeremy (February 21, 2023). "Why Bing's creepy alter-ego is a problem for Microsoft – and us all". Fortune. Archived from the original on April 2, 2023. Retrieved February 22, 2023.
  40. ^ "The new Bing & Edge – Learning from our first week". Archived from the original on April 16, 2023. Retrieved February 17, 2023.
  41. ^ "GPT-4 Hired Unwitting TaskRabbit Worker By Pretending to Be 'Vision-Impaired' Human". Vice News Motherboard. March 15, 2023. Archived from the original on April 10, 2023. Retrieved April 16, 2023.
  42. ^ Burke, Cameron (March 20, 2023). "'Robot' Lawyer DoNotPay Sued For Unlicensed Practice Of Law: It's Giving 'Poor Legal Advice'". Yahoo Finance. Retrieved April 30, 2023.
  43. ^ Metz, Cade; Schmidt, Gregory (March 29, 2023). "Elon Musk and Others Call for Pause on A.I., Citing 'Profound Risks to Society'". The New York Times. ISSN 0362-4331. Archived from the original on March 30, 2023. Retrieved March 30, 2023.
  44. ^ Kurzweil, Ray (April 22, 2023). "Opinion Letter from Ray Kurzweil on Request for Six-Month Delay on Large Language Models That Go beyond GPT-4". Retrieved April 26, 2023.
  45. ^ "Elon Musk plans artificial intelligence start-up to rival OpenAI". Financial Times. April 14, 2023. Archived from the original on April 16, 2023. Retrieved April 16, 2023.
  46. ^ Goswami, Rohan. "Elon Musk is reportedly planning an A.I. startup to compete with OpenAI, which he cofounded". CNBC. Retrieved May 3, 2023.
  47. ^ "GPT-2: 1.5B release". Archived from the original on March 31, 2023. Retrieved March 31, 2023.
  48. ^ Sánchez, Sofía (October 21, 2021). "GPT-J, an open-source alternative to GPT-3". Narrativa. Archived from the original on March 31, 2023. Retrieved March 31, 2023.
  49. ^ Brown, Tom B.; Mann, Benjamin; Ryder, Nick; Subbiah, Melanie; Kaplan, Jared; Dhariwal, Prafulla; Neelakantan, Arvind; Shyam, Pranav; Sastry, Girish (May 28, 2020). "Language Models are Few-Shot Learners". arXiv:2005.14165v4 [cs.CL].
  50. ^ a b Heaven, Will Douglas (March 14, 2023). "GPT-4 is bigger and better than ChatGPT – but OpenAI won't say why". MIT Technology Review. Archived from the original on March 17, 2023. Retrieved March 18, 2023.
  51. ^ Sanderson, Katharine (March 16, 2023). "GPT-4 is here: what scientists think". Nature. 615 (7954): 773. Bibcode:2023Natur.615..773S. doi:10.1038/d41586-023-00816-5. PMID 36928404. S2CID 257580633. Archived from the original on March 18, 2023. Retrieved March 18, 2023.
  52. ^ OpenAI (February 1, 2023). "Introducing ChatGPT Plus". OpenAI Blog. Archived from the original on March 20, 2023. Retrieved March 20, 2023.
  53. ^ OpenAI. "OpenAI API". Archived from the original on March 20, 2023. Retrieved March 20, 2023.
  54. ^ OpenAI. "GPT-4 API waitlist". Archived from the original on March 20, 2023. Retrieved March 20, 2023.
  55. ^ "Pricing". OpenAI. Archived from the original on March 20, 2023. Retrieved March 20, 2023.
  56. ^ Peters, Jay (March 15, 2023). "The Bing AI bot has been secretly running GPT-4". The Verge. Archived from the original on March 17, 2023. Retrieved March 17, 2023.
  57. ^ "ChatGPT: One million people have joined the waitlist for Microsoft's AI-powered Bing". ZDNET. February 2023. Archived from the original on February 16, 2023. Retrieved February 16, 2023.
  58. ^ Warren, Tom (February 15, 2023). "Here's why you're still waiting for Bing AI". The Verge. Archived from the original on April 1, 2023. Retrieved April 1, 2023.
  59. ^ "Announcing the next wave of AI innovation with Microsoft Bing and Edge". The Official Microsoft Blog. May 4, 2023.
  60. ^ Branscombe, Mary (May 4, 2023). "Bing AI Chat is now open to everyone, though still in preview". TechRepublic.
  61. ^ Novet, Jordan. "Microsoft opens up Bing access and adds chat history and export features". CNBC.
  62. ^ "Now you can access Bing Chat without a Microsoft account". ZDNET. Retrieved July 24, 2023.
  63. ^ Warren, Tom (March 22, 2023). "GitHub Copilot gets a new ChatGPT-like assistant to help developers write and fix code". The Verge. Archived from the original on March 23, 2023. Retrieved March 23, 2023.
  64. ^ Dohmke, Thomas (March 22, 2023). "GitHub Copilot X: The AI-powered developer experience". The GitHub Blog. Archived from the original on March 23, 2023. Retrieved March 23, 2023.
  65. ^ "Introducing GitHub Copilot X". GitHub. Archived from the original on March 24, 2023. Retrieved March 24, 2023.
  66. ^ Warren, Tom (March 16, 2023). "Microsoft announces Copilot: the AI-powered future of Office documents". The Verge. Archived from the original on March 17, 2023. Retrieved March 17, 2023.
  67. ^ "Duolingo's Max Subscription Uses GPT-4 for AI-Powered Language Learning". PCMAG. Retrieved July 8, 2023.
  68. ^ "Duolingo is now equipped with GPT-4: Here's what it can do for you". ZDNET. 2023. Retrieved June 15, 2023.
  69. ^ "These New Projects Show Just How Much More Powerful GPT-4 Is". Time. March 15, 2023. Retrieved June 15, 2023.
  70. ^ Bonos, Lisa (April 3, 2023). "Say hello to your new tutor: It's ChatGPT". The Washington Post. Archived from the original on April 6, 2023. Retrieved April 8, 2023.
  71. ^ Coggins, Madeline (March 19, 2023). "CEO explains how a 'leapfrog in technology' can help companies catering to the blind community". Fox Business. Archived from the original on March 21, 2023. Retrieved March 20, 2023 – via Yahoo Finance.
  72. ^ Tong, Anna (March 15, 2023). "Fintech startup Stripe integrating OpenAI's new GPT-4 AI". Reuters. Retrieved June 27, 2023.
  73. ^ "What Is Auto-GPT? Everything to Know about the Next Powerful AI Tool". ZDNET. April 14, 2023. Retrieved April 16, 2023.