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  2. Winograd schema challenge - Wikipedia

    en.wikipedia.org/wiki/Winograd_schema_challenge

    The Winograd schema challenge (WSC) is a test of machine intelligence proposed in 2012 by Hector Levesque, a computer scientist at the University of Toronto.Designed to be an improvement on the Turing test, it is a multiple-choice test that employs questions of a very specific structure: they are instances of what are called Winograd schemas, named after Terry Winograd, professor of computer ...

  3. Question answering - Wikipedia

    en.wikipedia.org/wiki/Question_answering

    Question answering systems in the context of [vague] machine reading applications have also been constructed in the medical domain, for instance related to [vague] Alzheimer's disease. [3] Open-domain question answering deals with questions about nearly anything and can only rely on general ontologies and world knowledge. Systems designed for ...

  4. Multiple choice - Wikipedia

    en.wikipedia.org/wiki/Multiple_choice

    A multiple choice question, with days of the week as potential answers. Multiple choice (MC), [1] objective response or MCQ(for multiple choice question) is a form of an objective assessment in which respondents are asked to select only the correct answer from the choices offered as a list.

  5. Stanford Mobile Inquiry-based Learning Environment - Wikipedia

    en.wikipedia.org/wiki/Stanford_Mobile_Inquiry...

    When creating questions in teams, the learning environment calls for collaboration. When ranking each team's questions, the activity turns into a competitive game. [2] Additionally, generating multiple choice questions is a critical facet of this learning model because it leads students to do thorough research to find the right answer and ...

  6. Did DeepSeek copy ChatGPT to make new AI chatbot? Trump ...

    lite.aol.com/news/us/story/0001/20250129/a94168f...

    Among the details that startled Wall Street was DeepSeek’s assertion that the cost to train the flagship v3 model behind its AI assistant was only $5.6 million, a stunningly low number compared to the multiple billions of dollars spent to build ChatGPT and other popular chatbots.

  7. 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]

  8. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT is a generative artificial intelligence chatbot [2] [3] developed by OpenAI and launched in 2022. It is currently based on the GPT-4o large language model (LLM). ChatGPT can generate human-like conversational responses and enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. [4]

  9. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    The authors considered a toy statistical model of an LLM solving multiple-choice questions, and showed that this statistical model, modified to account for other types of tasks, applies to these tasks as well. [103] Let be the number of parameter count, and be the performance of the model.