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  2. Retrieval-augmented generation - Wikipedia

    en.wikipedia.org/wiki/Retrieval-augmented_generation

    Retrieval-Augmented Generation (RAG) is a technique that grants generative artificial intelligence models information retrieval capabilities. It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information to augment information drawn from its own vast, static training data.

  3. Dissociated press - Wikipedia

    en.wikipedia.org/wiki/Dissociated_press

    Dissociated press is a parody generator (a computer program that generates nonsensical text). The generated text is based on another text using the Markov chain technique. The name is a play on "Associated Press" and the psychological term dissociation (although word salad is more typical of conditions like aphasia and schizophrenia – which is, however, frequently confused with dissociative ...

  4. Generative grammar - Wikipedia

    en.wikipedia.org/wiki/Generative_grammar

    By contrast, generative theories generally provide performance-based explanations for the oddness of center embedding sentences like one in (2). According to such explanations, the grammar of English could in principle generate such sentences, but doing so in practice is so taxing on working memory that the sentence ends up being unparsable .

  5. Commonsense knowledge (artificial intelligence) - Wikipedia

    en.wikipedia.org/wiki/Commonsense_knowledge...

    Commonsense reasoning simulates the human ability to use commonsense knowledge to make presumptions about the type and essence of ordinary situations they encounter every day, and to change their "minds" should new information come to light. This includes time, missing or incomplete information and cause and effect.

  6. Lexical analysis - Wikipedia

    en.wikipedia.org/wiki/Lexical_analysis

    The parser typically retrieves this information from the lexer and stores it in the abstract syntax tree. This is necessary in order to avoid information loss in the case where numbers may also be valid identifiers. Tokens are identified based on the specific rules of the lexer.

  7. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Proponents of fair use training have argued that it is a transformative use and does not involve making copies of copyrighted works available to the public. [110] Critics have argued that image generators such as Midjourney can create nearly-identical copies of some copyrighted images, [ 111 ] and that generative AI programs compete with the ...

  8. SPL notation - Wikipedia

    en.wikipedia.org/wiki/SPL_notation

    SPL (Sentence Plan Language) is an abstract notation representing the semantics of a sentence in natural language. [1] In a classical Natural Language Generation (NLG) workflow, an initial text plan (hierarchically or sequentially organized factoids, often modelled in accordance with Rhetorical Structure Theory) is transformed by a sentence planner (generator) component to a sequence of ...

  9. Statistical machine translation - Wikipedia

    en.wikipedia.org/wiki/Statistical_machine...

    An example of a word-based translation system is the freely available GIZA++ package , which includes the training program for IBM models and HMM model and Model 6. [7] The word-based translation is not widely used today; phrase-based systems are more common. Most phrase-based systems are still using GIZA++ to align the corpus [citation needed].