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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.
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]
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.
A hospital information system (HIS) is an element of health informatics that focuses mainly on the administrational needs of hospitals.In many implementations, a HIS is a comprehensive, integrated information system designed to manage all the aspects of a hospital's operation, such as medical, administrative, financial, and legal issues and the corresponding processing of services.
GPT-3's capacity is ten times larger than that of Microsoft's Turing NLG, the next largest NLP model known at the time. [12] Lambdalabs estimated a hypothetical cost of around $4.6 million US dollars and 355 years to train GPT-3 on a single GPU in 2020, [16] with lower actual training time by using more GPUs in parallel.
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 ChatGPT Plus subscribers have higher usage limits. [ 2 ]
In economics, it is theorized that initial adoption of a new GPT within an economy may, before improving productivity, actually decrease it, [4] due to: time required for development of new infrastructure; learning costs; and, obsolescence of old technologies and skills. This can lead to a "productivity J-curve" as unmeasured intangible assets ...
GPT may refer to: Computing. Generative pre-trained transformer, a type of artificial intelligence language model ChatGPT, a chatbot developed by OpenAI, based on ...