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ChatGPT is a generative artificial intelligence chatbot [2] [3] developed by OpenAI and launched in 2022. It is currently based on the GPT-4o large language model (LLM). ChatGPT 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. [4]
A chatbot (originally chatterbot) [1] is a software application or web interface designed to have textual or spoken conversations. [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 conversational partner.
Pre-training GPT-3 required several thousand petaflop/s-days [b] of compute, compared to tens of petaflop/s-days for the full GPT-2 model. [189] Like its predecessor, [ 179 ] the GPT-3 trained model was not immediately released to the public for concerns of possible abuse, although OpenAI planned to allow access through a paid cloud API after a ...
Altman was born on April 22, 1985, in Chicago, Illinois, [8] [9] into a Jewish family, [10] and grew up in St. Louis, Missouri.His mother is a dermatologist, while his father was a real estate broker.
EleutherAI (/ ə ˈ l uː θ ər / [2]) is a grass-roots non-profit artificial intelligence (AI) research group. The group, considered an open-source version of OpenAI, [3] was formed in a Discord server in July 2020 by Connor Leahy, Sid Black, and Leo Gao [4] to organize a replication of GPT-3.
Discord is a persistent group chat software, based on an eventually consistent database architecture. [88] Discord was originally built on MongoDB . The infrastructure was migrated to Apache Cassandra when the platform reached a billion messages, then later migrated to ScyllaDB when it reached a trillion messages.
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Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.