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  2. Quizlet - Wikipedia

    en.wikipedia.org/wiki/Quizlet

    In March 2023, Quizlet started to incorporate AI features with the release "Q-Chat", a virtual AI tutor powered by OpenAI's ChatGPT API. [24] [25] [26] Quizlet launched four additional AI powered features in August 2023 to assist with student learning. [27] [28] In July 2024, Kurt Beidler, the former co-CEO of Zwift, joined Quizlet as the new ...

  3. Attention Is All You Need - Wikipedia

    en.wikipedia.org/wiki/Attention_Is_All_You_Need

    Multi-head attention enhances this process by introducing multiple parallel attention heads. Each attention head learns different linear projections of the Q, K, and V matrices. This allows the model to capture different aspects of the relationships between words in the sequence simultaneously, rather than focusing on a single aspect.

  4. Attention (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Attention_(machine_learning)

    During the deep learning era, attention mechanism was developed to solve similar problems in encoding-decoding. [1]In machine translation, the seq2seq model, as it was proposed in 2014, [24] would encode an input text into a fixed-length vector, which would then be decoded into an output text.

  5. Attention AI experts: The White House wants you - AOL

    www.aol.com/finance/attention-ai-experts-white...

    In a move reminiscent of a wartime recruitment drive, the U.S. government is putting out the call for AI experts and taking steps to fast-track the hiring process. Attention AI experts: The White ...

  6. Transformer (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Transformer_(deep_learning...

    Multiheaded attention, block diagram Exact dimension counts within a multiheaded attention module. One set of (,,) matrices is called an attention head, and each layer in a transformer model has multiple attention heads. While each attention head attends to the tokens that are relevant to each token, multiple attention heads allow the model to ...

  7. Pre-attentive processing - Wikipedia

    en.wikipedia.org/wiki/Pre-attentive_processing

    The ability to adequately filter information from pre-attentive processing to attentive processing is necessary for the normal development of social skills. [14] For acoustic pre-attentive processing, the temporal cortex was believed to be the main site of activation; however, recent evidence has indicated involvement of the frontal cortex as well.

  8. Attention - Wikipedia

    en.wikipedia.org/wiki/Attention

    Attention is best described as the sustained focus of cognitive resources on information while filtering or ignoring extraneous information. Attention is a very basic function that often is a precursor to all other neurological/cognitive functions. As is frequently the case, clinical models of attention differ from investigation models.

  9. Active listening - Wikipedia

    en.wikipedia.org/wiki/Active_listening

    Active listening encloses the communication attribute characterized by paying attention to a speaker for better comprehension, both in word and emotion. It is the opposite of passive listening, where a listener may be distracted or note critical points to develop a response.