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2. ChatGPT - Wikipedia

   en.wikipedia.org/wiki/ChatGPT

   ChatGPT is a language model -based chatbot developed by OpenAI and launched on November 30, 2022. It can generate human-like conversational responses and enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. [2] Successive user prompts and replies are considered at each ...

3. AutoGPT - Wikipedia

   en.wikipedia.org/wiki/Auto-GPT

   AutoGPT. AutoGPT is an open-source " AI agent " that, given a goal in natural language, will attempt to achieve it by breaking it into sub-tasks and using the Internet and other tools in an automatic loop. [ 1 ] It uses OpenAI 's GPT-4 or GPT-3.5 APIs, [ 2 ] and is among the first examples of an application using GPT-4 to perform autonomous tasks.

4. 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]

5. GPT-4o - Wikipedia

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

   openai.com /index /hello-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]

6. OpenAI - Wikipedia

   en.wikipedia.org/wiki/OpenAI

   The system then responds with an answer within seconds. ChatGPT reached 1 million users 5 days after its launch. [217] [218] As of 2023, ChatGPT Plus is a GPT-4 backed version of ChatGPT [219] available for a US$20 per month subscription fee [220] (the original version is backed by GPT-3.5). [221]

7. Large language model - Wikipedia

   en.wikipedia.org/wiki/Large_language_model

   A large language model (LLM) is a computational model capable of language generation or other natural language processing tasks. As language models, LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a self-supervised and semi-supervised training process.