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  2. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT is built on OpenAI's proprietary series of generative pre-trained transformer (GPT) models and is fine-tuned for conversational applications using a combination of supervised learning and reinforcement learning from human feedback. [7] ChatGPT was released as a freely available research preview, but due to its popularity, OpenAI now operates the service on a freemium model. Users on ...

  3. GPT-4o - Wikipedia

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

    GPT-4o (GPT-4 Omni) is a multilingual, multimodal generative pre-trained transformer designed by OpenAI. It was announced by OpenAI's CTO Mira Murati during a live-streamed demo on 13 May 2024 and released the same day. GPT-4o is free, but with a usage limit that is 5 times higher for ChatGPT Plus subscribers.

  4. GPT-4 - Wikipedia

    en.wikipedia.org/wiki/GPT-4

    Machine learningand data mining. 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 ...

  5. ChatGPT set to surpass 100M users faster than TikTok: UBS - AOL

    www.aol.com/finance/chatgpt-track-surpass-100...

    ChatGPT, the AI chatbot that's garnered widespread attention since its launch two months ago, is on track to surpass 100 million monthly active users (MAUs), according to data compiled by UBS.

  6. GPT4-Chan - Wikipedia

    en.wikipedia.org/wiki/GPT4-Chan

    Website. huggingface .co /ykilcher /gpt-4chan. Generative Pre-trained Transformer 4Chan (GPT4-Chan) is a controversial AI model that was developed and deployed by YouTuber and AI researcher Yannic Kilcher in June 2022. The model is a large language model, which means it can generate text based on some input, by fine-tuning GPT-J with a dataset ...

  7. GPT-3 - Wikipedia

    en.wikipedia.org/wiki/GPT-3

    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] This attention mechanism allows the model to selectively focus on segments of input text it predicts to be most relevant. [4] GPT-3 has 175 billion parameters, each with a 16-bit precision ...

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