GPT-4

Extracted Attributes

• Type

  Multimodal Model (LMM)

• Developer

  OpenAI

• Generation

  Fourth

• Limitations

  Still not fully reliable, 'hallucinates' facts, makes reasoning errors

• Architecture

  Transformer-based

• API Token Limit

  32,000 tokens

• Training Method

  Next-token prediction on public and licensed data

• Alignment Method

  Fine-tuning with Reinforcement Learning from Human Feedback (RLHF)

• Input Modalities

  Text, Images (for GPT-4V variant)

• Output Modalities

  Text

• Proprietary Approach

  Defended by OpenAI for frontier models

• Vision for AI Agents

  Highly capable 'senior employees' powered by advanced reasoning models

• Application Potential

  Accelerating Scientific Discovery

• Key Focus Areas (Sam Altman)

  Reducing AI cost and latency, building AI chip infrastructure

• Strategic Direction (OpenAI)

  Continuous model improvement over discrete version numbers

• Performance on Simulated Bar Exam

  Scores around the top 10% of test takers (GPT-3.5 scored bottom 10%)

• Performance Improvement over GPT-3.5

  40% higher on OpenAI's internal factual performance benchmark

Timeline

• An early version of GPT-4 was integrated into Microsoft's Bing Chat. (Source: Wikipedia)

  2023-02

• GPT-4 was officially released by OpenAI. (Source: Wikidata)

  2023-03-14

• GPT-4 was released in ChatGPT. (Source: Wikipedia)

  2023-03

• GPT-4 was removed from ChatGPT (as stated in Wikipedia, likely a planned deprecation or typo). (Source: Wikipedia)

  2025

• OpenAI is moving towards continuous model improvement for systems like GPT-4, constantly upgrading them. (Source: Related Documents)

  Ongoing

GPT-4

Generative Pre-trained Transformer 4 (GPT-4) is a large language model developed by OpenAI and the fourth in its series of GPT foundation models. GPT-4 is more capable than its predecessor GPT-3.5 and followed by its successor GPT-5. GPT-4V is a version of GPT-4 that can process images in addition to text. OpenAI has not revealed technical details and statistics about GPT-4, such as the precise size of the model. An early version of GPT-4 was integrated by Microsoft into Bing Chat, launched in February 2023. GPT-4 was released in ChatGPT in March 2023, and removed in 2025. GPT-4 is still available in OpenAI's API. GPT-4, as a generative pre-trained transformer (GPT), was first trained to predict the next token for a large amount of text (both public data and "data licensed from third-party providers"). Then, it was fine-tuned for human alignment and policy compliance, notably with reinforcement learning from human feedback (RLHF).

Web Search Results

• GPT-4: A complete Guide to understanding its functionalities

  GPT-4 is an LVM that processes images and text as input and generates text as output. It uses an architecture based on Transformer, a model consisting of blocks of stacked decoders that use different neural networks and incorporate the attention mechanism. The training and alignment process of the model consists of two steps: [...] We analyze its benefits, use cases, and latest updates and give you tips on how to get the most out of it for your business. What is GPT-4? GPT-4 is the latest model in the GPT (Generative Pre-trained Transformer) family. And what is a GPT? It is an LLM (Large Language Model), i.e.,a type of artificial intelligence that uses Deep Learning to imitate human language. The aim is to generate meaningful data by predicting the next word that will follow the previous one in a text. [...] GPT-3 vs. GPT-4 | Diferences The main difference between one version and the other is that GPT-4 is a model that processes images and text as input, something that previous versions could only do with text. Also, the new version has gone from sending 4096 tokens to the API to 32,000 tokens. This is a major step forward, as it facilitates the creation of increasingly complex and specialized texts and conversations.

• What is GPT-4 and Why Does it Matter?

  GPT-4 is the latest version of Generative Pre-trained Transformers, a type of deep learning model used for natural language processing and text generation. It marks a significant milestone in the field of artificial intelligence, particularly in natural language processing. ### What are the capabilities of GPT models? [...] As you might expect, GPT-4 improves on GPT-3.5 models regarding the factual correctness of answers. The number of "hallucinations," where the model makes factual or reasoning errors, is lower, with GPT-4 scoring 40% higher than GPT-3.5 on OpenAI's internal factual performance benchmark. [...] What is GPT-4 and Why Does it Matter? | DataCamp Skip to main content , as well as the new capabilities that GPT-4 unlocks. Check out our article on GPT-4o, the latest iteration of GPT, to find out more. Additionally, learn more about Large Language Models like GPT-4 in our AI Fundamentals Track. What are Generative Pre-trained Transformers? Generative Pre-trained Transformers (GPT) are a type of deep learning model used to generate human-like text. Common uses include

• What can you do with GPT-4?

  ### Transcript: GPT-4 is the latest AI system from OpenAI. The lab that created Dall-E. And ChatGPT. GPT-4 is a breakthrough in problem solving capabilities. For example, you can ask it how you would clean the inside of a tank filled with piranhas. And it'll give you something useful. It can also read, analyze, or generate up to 25,000 words of text. It can write code in all major programming languages. And it understands images as input, and can reason with them

• GPT-4

  We’ve created GPT‑4, the latest milestone in OpenAI’s effort in scaling up deep learning. GPT‑4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks. For example, it passes a simulated bar exam with a score around the top 10% of test takers; in contrast, GPT‑3.5’s score was around the bottom 10%. We’ve spent 6 months [...] Like previous GPT models, the GPT‑4 base model was trained to predict the next word in a document, and was trained using publicly available data (such as internet data) as well as data we’ve licensed. The data is a web-scale corpus of data including correct and incorrect solutions to math problems, weak and strong reasoning, self-contradictory and consistent statements, and representing a great variety of ideologies and ideas. [...] Despite its capabilities, GPT‑4 has similar limitations as earlier GPT models. Most importantly, it still is not fully reliable (it “hallucinates” facts and makes reasoning errors). Great care should be taken when using language model outputs, particularly in high-stakes contexts, with the exact protocol (such as human review, grounding with additional context, or avoiding high-stakes uses altogether) matching the needs of a specific use-case.

• What Is GPT? GPT-4, GPT-5, and More Explained

  GPT-4 is a large multimodal model (LMM), meaning it can parse image inputs as well as text. This iteration is the most advanced GPT model, exhibiting human-level performance across a variety of benchmarks in the professional and academic realm. For comparison, GPT-3.5 scored in the bottom 10 percent of test-takers in a simulated bar exam, while GPT-4 scored in the top 10 percent.

• Instance Of

  Q115305900

• Inception Date

  3/14/2023