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GPT-4

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Generative Pre-trained Transformer 4 (GPT-4)
Developer(s)OpenAI
Initial releaseMarch 14, 2023
PredecessorGPT-3
TypeAutoregressive multimodal transformer language model
Websiteopenai.com/gpt-4 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 GPT series.[1] It was released on March 14, 2023, and has been made publicly available in a limited form via ChatGPT Plus, with access to its commercial API being provided via a waitlist.[1] As a transformer, GPT-4 was pretrained to predict the next token (using both public data and "data licensed from third-party providers"), and was then fine-tuned with reinforcement learning from human and AI feedback for human alignment and policy compliance.[2]: 2 

Observers reported the GPT-4 based version of ChatGPT to be an impressive improvement on the previous (GPT-3.5 based) ChatGPT, with the caveat that GPT-4 retains some of the same problems.[3] Unlike the predecessors, GPT-4 can take images as well as text as input.[4] OpenAI has declined to reveal technical information such as the size of the GPT-4 model.[5]

Capabilities

OpenAI stated when announcing GPT-4 that it is "more reliable, creative, and able to handle much more nuanced instructions than GPT-3.5."[6] 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.[7] Unlike its predecessors, GPT-4 can take images as well as text as input;[4] this gives it the ability to describe the humor in unusual images, summarize screenshotted text, and answer exam questions that contain diagrams.[8] Despite these new abilities, GPT-4, like its predecessors, still tends to hallucinate answers.[9]

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[10] percentile), 163 on the LSAT (88th percentile), and 298 on the Uniform Bar Exam (90th percentile). In contrast, OpenAI claims that GPT-3.5 received scores for the same exams in the 82nd,[10] 40th, and 10th percentiles respectively.[2]

To gain further control over GPT-4, OpenAI introduced the "system message", a directive in natural language that can be given to chat-optimized versions of GPT-4 in order to prescribe their tone of voice as well as task. For example, the system directive 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 directive despite requests to do otherwise by the user during the conversation.[8]

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)".[11]

Training

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.[2]

Reception

U.S. Representatives Don Beyer and Ted Lieu confirmed to the New York Times that Sam Altman, CEO of OpenAI, visited Congress in January 2023 to demonstrate GPT-4 and its improved "security controls" compared to other AI models.[12]

According to Vox, GPT-4 "impressed observers with its markedly improved performance across reasoning, retention, and coding."[3] Mashable agreed that GPT-4 was usually a significant improvement, but also judged that GPT-3 would occasionally give better answers in a side-by-side comparison.[13]

Microsoft Research tested the model behind GPT-4 and concluded that "it could reasonably be viewed as an early (yet still incomplete) version of an artificial general intelligence (AGI) system".[14]

AI safety concerns

In late March 2023, an open letter from the Future of Life Institute signed by various AI researchers and tech executives called for the pausing of all training of AIs stronger than GPT-4 for 6 months, citing AI safety concerns amid a race of progress in the field. The signatories, which included figures such as AI pioneer Yoshua Bengio, Apple co-founder Steve Wozniak, and Tesla CEO Elon Musk, expressed concern about both near-term and existential risks of AI development such as a potential AI singularity. OpenAI CEO Sam Altman did not sign the letter, arguing that OpenAI already prioritizes safety.[15][16][17][18]

Criticisms

While OpenAI released both the weights of the neural network and the technical details of GPT-2,[19] and, although not releasing the weights,[20] did release the technical details of GPT-3,[21] OpenAI did not reveal 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.[5][22] 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.[23] 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".[22]

Usage

ChatGPT Plus

ChatGPT Plus is a GPT-4 backed version of ChatGPT[1] available for a 20 USD per month subscription fee[24] (the original version is backed by GPT-3.5).[25] OpenAI also makes GPT-4 available to a select group of applicants through their GPT-4 API waitlist;[26] after being accepted, an additional fee of 0.03 USD per 1000 tokens[jargon] in the initial text provided to the model ("prompt"), and 0.06 USD per 1000 tokens that the model generates ("completion"), is required to use the version of the model with a 8192-token context window; for the 32768-token version, those prices are doubled.[27]

Duolingo

Duolingo integrated GPT-4 in their application through two new features, "Roleplay" and "Explain My Answer". The first version of this update is aimed only at English speakers who are learning French or Spanish, with plans to extend the features to other languages in the future.[28]

Miðeind ehf

Icelandic start-up Miðeind ehf, which works on language preservation, was selected by OpenAI as one of six companies to participate in an early beta test program of the new model.[29]

Khan Academy

Khan Academy uses GPT-4 to create a tutoring chatbot, which the organization names "Khanmigo". While it is in the "research phase",[30] access to the chatbot is provided free to the students and teachers of 500 school districts who have "partnered" with Khan Academy.[31] Public access is only offered to a limited number of users selected from a waitlist; after acceptance, a 20 USD per month fee is required to use the technology.[32]

Be My Eyes

Be My Eyes, which helps visually impaired people to identify objects and navigate their surroundings, was the first app to incorporate GPT-4's image recognition capabilities, through a new "Virtual Volunteer" feature. The feature is an alternative to relying on human volunteers for the same tasks.[33][34] The Be My Eyes "Virtual Volunteer" is in beta testing.[35]

GitHub Copilot

GitHub Copilot announced a GPT-4 powered assistant named "Copilot X".[36][37] 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. As of 31 March 2023, while GitHub provides access to a limited number of people selected through a waitlist, the release date as well as the cost of the product are still to be announced.[38]

Jio Haptik

According to a report by Mint,[39] Indian businesses have shown interest in using GPT-4 for their chatbot services. Platforms such as Jio Haptik, owned by Reliance Jio, and Yellow.ai plan to incorporate GPT-4 into their enterprise chatbots for businesses in India and around the world.

Microsoft Bing

Microsoft 365 Copilot

On 17 March 2023, Microsoft announced further integration of GPT-4 into its products, revealing Microsoft 365 Copilot, "embedded in the apps millions of people use everyday: Word, Excel, PowerPoint, Outlook, Teams, and more".[40]

References

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