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  2. Abstract (summary) - Wikipedia

    en.wikipedia.org/wiki/Abstract_(summary)

    An abstract is a brief summary of a research article, thesis, review, conference proceeding, or any in-depth analysis of a particular subject and is often used to help the reader quickly ascertain the paper's purpose. [1]

  3. Abstraction - Wikipedia

    en.wikipedia.org/wiki/Abstraction

    Abstraction is a process where general rules and concepts are derived from the use and classifying of specific examples, literal (real or concrete) signifiers, first principles, or other methods.

  4. Abstract data type - Wikipedia

    en.wikipedia.org/wiki/Abstract_data_type

    In computer science, an abstract data type (ADT) is a mathematical model for data types, defined by its behavior from the point of view of a user of the data, specifically in terms of possible values, possible operations on data of this type, and the behavior of these operations.

  5. Abstract syntax tree - Wikipedia

    en.wikipedia.org/wiki/Abstract_syntax_tree

    An abstract syntax tree (AST) is a data structure used in computer science to represent the structure of a program or code snippet. It is a tree representation of the abstract syntactic structure of text (often source code) written in a formal language.

  6. Abstract and concrete - Wikipedia

    en.wikipedia.org/wiki/Abstract_and_concrete

    In philosophy and the arts, a fundamental distinction is between things that are abstract and things that are concrete.While there is no general consensus as to how to precisely define the two, examples include that things like numbers, sets, and ideas are abstract objects, while plants, dogs, and planets are concrete objects. [1]

  7. Automatic content recognition - Wikipedia

    en.wikipedia.org/wiki/Automatic_content_recognition

    Automatic content recognition (ACR) is a technology used to identify content played on a media device or presented within a media file.Devices with ACR can allow for the collection of content consumption information automatically at the screen or speaker level itself, without any user-based input or search efforts.

  8. AutoGPT - Wikipedia

    en.wikipedia.org/wiki/AutoGPT

    The overarching capability of AutoGPT is the breaking down of a large task into various sub-tasks without the need for user input. These sub-tasks are then chained together and performed sequentially to yield a larger result as originally laid out by the user input. [4]

  9. Autoencoder - Wikipedia

    en.wikipedia.org/wiki/Autoencoder

    An autoencoder is a type of artificial neural network used to learn efficient codings of unlabeled data (unsupervised learning).An autoencoder learns two functions: an encoding function that transforms the input data, and a decoding function that recreates the input data from the encoded representation.