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  2. Whisper (speech recognition system) - Wikipedia

    en.wikipedia.org/wiki/Whisper_(speech...

    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, [ 3] and is also capable of translating several non-English languages into English.

  3. Numbers station - Wikipedia

    en.wikipedia.org/wiki/Numbers_station

    A recording of The Gong numbers station, run by the National People's Army of the German Democratic Republic, from 1988. A numbers station is a shortwave radio station characterized by broadcasts of formatted numbers, which are believed to be addressed to intelligence officers operating in foreign countries. [ 1]

  4. Neural machine translation - Wikipedia

    en.wikipedia.org/wiki/Neural_machine_translation

    Neural machine translation ( NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model. It is the dominant approach today [ 1]: 293 [ 2]: 1 and can produce translations that rival human translations when ...

  5. Seq2seq - Wikipedia

    en.wikipedia.org/wiki/Seq2seq

    [12] In 2022, Amazon introduced AlexaTM 20B, a moderate-sized (20 billion parameter) seq2seq language model. It uses an encoder-decoder to accomplish few-shot learning. The encoder outputs a representation of the input that the decoder uses as input to perform a specific task, such as translating the input into another language.

  6. One-hot - Wikipedia

    en.wikipedia.org/wiki/One-hot

    One-hot. In digital circuits and machine learning, a one-hot is a group of bits among which the legal combinations of values are only those with a single high (1) bit and all the others low (0). [ 1] A similar implementation in which all bits are '1' except one '0' is sometimes called one-cold. [ 2] In statistics, dummy variables represent a ...

  7. Generative pre-trained transformer - Wikipedia

    en.wikipedia.org/wiki/Generative_pre-trained...

    Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] [18] 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.

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  9. Source–message–channel–receiver model of communication

    en.wikipedia.org/wiki/Source–Message–Channel...

    The source–message–channel–receiver model is a linear transmission model of communication. It is also referred to as the sender–message–channel–receiver model, the SMCR model, and Berlo's model. It was first published by David Berlo in his 1960 book The Process of Communication. It contains a detailed discussion of the four main ...