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  2. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    List of datasets in computer vision and image processing. Outline of machine learning. v. t. e. These datasets are used in machine learning (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major advances in this field can result from advances in learning ...

  3. Turing test - Wikipedia

    en.wikipedia.org/wiki/Turing_test

    The interrogator is limited to using the responses to written questions to make the determination. [1] The Turing test, originally called the imitation game by Alan Turing in 1950, [2] is a test of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human.

  4. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]

  5. Question answering - Wikipedia

    en.wikipedia.org/wiki/Question_answering

    Question answering. Question answering (QA) is a computer science discipline within the fields of information retrieval and natural language processing (NLP) that is concerned with building systems that automatically answer questions that are posed by humans in a natural language. [1]

  6. IBM Watson - Wikipedia

    en.wikipedia.org/wiki/IBM_Watson

    The high-level architecture of IBM's DeepQA used in Watson [9]. Watson was created as a question answering (QA) computing system that IBM built to apply advanced natural language processing, information retrieval, knowledge representation, automated reasoning, and machine learning technologies to the field of open domain question answering.

  7. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    Prompt engineering is the process of structuring an instruction that can be interpreted and understood by a generative AI model. [1] [2] A prompt is natural language text describing the task that an AI should perform: [3] a prompt for a text-to-text language model can be a query such as "what is Fermat's little theorem?", [4] a command such as "write a poem about leaves falling", [5] or a ...

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