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Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.
Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. [2]It is capable of transcribing speech in English and several other languages, and is also capable of translating several non-English languages into English. [1]
Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.
The Microsoft-backed company, which kicked off a generative AI craze with the launch of its ChatGPT chatbot in November 2022, aims to target similar text-to-video tools from Meta and Alphabet's ...
Rapid adoption of generative artificial intelligence technology has led to sky-rocketing demand for AI data centers capable of handling more advanced tasks than traditional data centers. The ...
OpenAI looked like it was doomed after Sam Altman's firing, but it’s just landed its next breakout hit with text-to-video tool Sora. AI just took another huge step: Sam Altman debuts OpenAI’s ...
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]
OpenAI also makes GPT-4 available to a select group of applicants through their GPT-4 API waitlist; [244] after being accepted, an additional fee of US$0.03 per 1000 tokens in the initial text provided to the model ("prompt"), and US$0.06 per 1000 tokens that the model generates ("completion"), is charged for access to the version of the model ...