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  2. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT is a chatbot and virtual assistant developed by OpenAI and launched on November 30, 2022. Based on large language models (LLMs), it 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 conversation stage as ...

  3. Chatbot - Wikipedia

    en.wikipedia.org/wiki/Chatbot

    A chatbot (originally chatterbot) [1] is a software application or web interface that is designed to mimic human conversation through text or voice interactions. [2] [3] [4] Modern chatbots are typically online and use generative artificial intelligence systems that are capable of maintaining a conversation with a user in natural language and simulating the way a human would behave as a ...

  4. OpenAI - Wikipedia

    en.wikipedia.org/wiki/OpenAI

    Announced in mid-2021, Codex is a descendant of GPT-3 that has additionally been trained on code from 54 million GitHub repositories, [171] [172] and is the AI powering the code autocompletion tool GitHub Copilot. [172] In August 2021, an API was released in private beta. [173]

  5. Understanding images is just one way Chat GPT-4 goes ... - AOL

    www.aol.com/news/understanding-images-just-one...

    The company said that GPT-4 generally lacks knowledge of events that occurred after the “vast majority of its data cuts off,” which is September 2021, and doesn’t learn from its experiences.

  6. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    For example, training of the GPT-2 (i.e. a 1.5-billion-parameters model) in 2019 cost $50,000, while training of the PaLM (i.e. a 540-billion-parameters model) in 2022 cost $8 million, and Megatron-Turing NLG 530B (in 2021) cost around $11 million. [53] For Transformer-based LLM, training cost is much higher than inference cost.

  7. GPT-2 - Wikipedia

    en.wikipedia.org/wiki/GPT-2

    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] GPT-2 was created as a "direct scale-up" of GPT-1 [6] with a ten-fold increase in both its parameter count and the size of its training dataset. [5]

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