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ChatGPT is a generative artificial intelligence (AI) chatbot [2] [3] developed by OpenAI and launched in 2022. It is 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 generative pre-trained transformer (GPT) is a type of large language model (LLM) [1][2][3] and a prominent framework for generative artificial intelligence. [4][5] It is an artificial neural network that is used in natural language processing by machines. [6] It is based on the transformer deep learning architecture, pre-trained on large data ...
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 ...
Prompt engineering is the process of structuring an instruction that can be interpreted and understood by a generative artificial intelligence (AI) model. [1][2] A prompt is natural language text describing the task that an AI should perform. [3] A prompt for a text-to-text language model can be a query such as "what is Fermat's little theorem ...
You may have heard about Jackson Greathouse Fall, who asked OpenAI's ChatGPT to give him instructions to turn $100 into "as much money as possible." He followed the chatbot's instructions and ...
ChatGPT is a virtual assistant developed by OpenAI and launched in November 2022. It uses advanced artificial intelligence (AI) models called generative pre-trained transformers (GPT), such as GPT-4o, to generate text. GPT models are large language models that are pre-trained to predict the next token in large amounts of text (a token usually ...
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]
OpenAI stated that GPT-3 succeeded at certain "meta-learning" tasks and could generalize the purpose of a single input-output pair. The GPT-3 release paper gave examples of translation and cross-linguistic transfer learning between English and Romanian, and between English and German. [172] GPT-3 dramatically improved benchmark results over GPT-2.