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2. GPT-4 - Wikipedia

   en.wikipedia.org/wiki/GPT-4

   Website. openai.com /gpt-4. 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 launched on March 14, 2023, [1] and made publicly available via the paid chatbot product ChatGPT Plus, via OpenAI's API, and via the free chatbot ...

3. Generative pre-trained transformer - Wikipedia

   en.wikipedia.org/wiki/Generative_pre-trained...

   A generative pre-trained transformer (GPT) is a type of large language model (LLM) [1][2][3] and a prominent framework for generative artificial intelligence. [4][5] It is an artificial neural network that is used in natural language processing by machines. [6] It is based on the transformer deep learning architecture, pre-trained on large data ...

4. GPT-4o - Wikipedia

   en.wikipedia.org/wiki/GPT-4o

   GPT-4o ("o" for "omni") is a multilingual, multimodal generative pre-trained transformer developed by OpenAI and released in May 2024. [1] GPT-4o is free, but with a usage limit that is five times higher for ChatGPT Plus subscribers. [2] It can process and generate text, images and audio. [3] Its application programming interface (API) is twice ...

5. OpenAI - Wikipedia

   en.wikipedia.org/wiki/OpenAI

   Former headquarters at the Pioneer Building in San Francisco. In December 2015, OpenAI was founded by Sam Altman, Elon Musk, Ilya Sutskever, Greg Brockman, Trevor Blackwell, Vicki Cheung, Andrej Karpathy, Durk Kingma, John Schulman, Pamela Vagata, and Wojciech Zaremba, with Sam Altman and Elon Musk as the co-chairs. $1 billion in total was pledged by Sam Altman, Greg Brockman, Elon Musk, Reid ...

6. GPT-2 - Wikipedia

   en.wikipedia.org/wiki/GPT-2

   e. Generative Pre-trained Transformer 2 (GPT-2) is a large language model by OpenAI and the second in their foundational series of GPT models. GPT-2 was pre-trained on a dataset of 8 million web pages. [2] It was partially released in February 2019, followed by full release of the 1.5-billion-parameter model on November 5, 2019. [3][4][5]

7. AI boom - Wikipedia

   en.wikipedia.org/wiki/AI_boom

   [42] [43] [44] An upgraded version called GPT-3.5 was used in ChatGPT, which later garnered attention for its detailed responses and articulate answers across many domains of knowledge. [45] A new version called GPT-4 was released on March 14, 2023, and was used in the Microsoft Bing search engine.

8. GPT-3 - Wikipedia

   en.wikipedia.org/wiki/GPT-3

   Generative Pre-trained Transformer 3 (GPT-3) is a large language model released by OpenAI in 2020.. Like its predecessor, GPT-2, it is a decoder-only [2] transformer model of deep neural network, which supersedes recurrence and convolution-based architectures with a technique known as "attention". [3]

9. Diffusion model - Wikipedia

   en.wikipedia.org/wiki/Diffusion_model

   In machine learning, diffusion models, also known as diffusion probabilistic models or score-based generative models, are a class of latent variable generative models. A diffusion model consists of three major components: the forward process, the reverse process, and the sampling procedure. [1] The goal of diffusion models is to learn a ...