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  2. File:Deep Learning Applied in Computer Vision.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Deep_Learning_Applied...

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

  3. Mathematics of artificial neural networks - Wikipedia

    en.wikipedia.org/wiki/Mathematics_of_artificial...

    Sometimes models are intimately associated with a particular learning rule. A common use of the phrase "ANN model" is really the definition of a class of such functions (where members of the class are obtained by varying parameters, connection weights, or specifics of the architecture such as the number of neurons, number of layers or their ...

  4. Joscha Bach - Wikipedia

    en.wikipedia.org/wiki/Joscha_Bach

    Bach was born in Weimar, East Germany, and displayed an early interest in philosophy, artificial intelligence, and cognitive science.He received an MA (computer science) from Humboldt University of Berlin in 2000 and a PhD (cognitive science) from Osnabrück University in 2006, [1] [2] [3] where he conducted research on emotion modeling and artificial minds.

  5. Llama (language model) - Wikipedia

    en.wikipedia.org/wiki/Llama_(language_model)

    For AI alignment, reinforcement learning with human feedback (RLHF) was used with a combination of 1,418,091 Meta examples and seven smaller datasets. The average dialog depth was 3.9 in the Meta examples, 3.0 for Anthropic Helpful and Anthropic Harmless sets, and 1.0 for five other sets, including OpenAI Summarize, StackExchange, etc.

  6. Supervised learning - Wikipedia

    en.wikipedia.org/wiki/Supervised_learning

    Active learning: Instead of assuming that all of the training examples are given at the start, active learning algorithms interactively collect new examples, typically by making queries to a human user. Often, the queries are based on unlabeled data, which is a scenario that combines semi-supervised learning with active learning.

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  8. Contextual inquiry - Wikipedia

    en.wikipedia.org/wiki/Contextual_inquiry

    Contextual inquiry (CI) is a user-centered design (UCD) research method, part of the contextual design methodology.A contextual inquiry interview is usually structured as an approximately two-hour, one-on-one interaction in which the researcher watches the user in the course of the user's normal activities and discusses those activities with the user.

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