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  2. Universal pragmatics - Wikipedia

    en.wikipedia.org/wiki/Universal_pragmatics

    Universal pragmatics (UP) is part of a larger project to rethink the relationship between philosophy and the individual sciences during a period of social crisis. The project is within the tradition of Critical Theory, a program that traces back to the work of Max Horkheimer.

  3. Postmodernism Generator - Wikipedia

    en.wikipedia.org/wiki/Postmodernism_Generator

    The Postmodernism Generator is a computer program that automatically produces "close imitations" of postmodernist writing. It was written in 1996 by Andrew C. Bulhak of Monash University using the Dada Engine, a system for generating random text from recursive grammars . [ 1 ]

  4. Wikipedia : Using neural network language models on Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Using_neural...

    Use due diligence when crafting prompts for neural networks. Prompts designed for Wikipedia should use natural sentences and be as descriptive as possible, and include keywords such as "encyclopedic", "keep the meaning intact", etc. to minimize the AI from adding original content.

  5. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    These models take text prompts as input and use them to generate AI-generated images. Text-to-image models typically do not understand grammar and sentence structure in the same way as large language models, [48] thus may require a different set of prompting techniques. Text-to-image models do not natively understand negation.

  6. Cloze test - Wikipedia

    en.wikipedia.org/wiki/Cloze_test

    The definition of success in a given cloze test varies, depending on the broader goals behind the exercise. Assessment may depend on whether the exercise is objective (i.e. students are given a list of words to use in a cloze) or subjective (i.e. students are to fill in a cloze with words that would make a given sentence grammatically correct).

  7. Natural language generation - Wikipedia

    en.wikipedia.org/wiki/Natural_language_generation

    Natural language generation (NLG) is a software process that produces natural language output. A widely-cited survey of NLG methods describes NLG as "the subfield of artificial intelligence and computational linguistics that is concerned with the construction of computer systems that can produce understandable texts in English or other human languages from some underlying non-linguistic ...

  8. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    A question answering task is considered "open book" if the model's prompt includes text from which the expected answer can be derived (for example, the previous question could be adjoined with some text which includes the sentence "The Sharks have advanced to the Stanley Cup finals once, losing to the Pittsburgh Penguins in 2016." [124]).

  9. Free response question - Wikipedia

    en.wikipedia.org/wiki/Free_response_question

    Free response questions require test takers to respond to a question or open-ended prompt with a prose response. In addition to being graded for factual correctness, free response questions may also be graded for persuasiveness, style, and demonstrated mastery of the subject material.

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