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  2. Linear bounded automaton - Wikipedia

    en.wikipedia.org/wiki/Linear_bounded_automaton

    This limitation makes an LBA a somewhat more accurate model of a real-world computer than a Turing machine, whose definition assumes unlimited tape. The strong and the weaker definition lead to the same computational abilities of the respective automaton classes, [ 1 ] : 225 by the same argument used to prove the linear speedup theorem .

  3. List of large language models - Wikipedia

    en.wikipedia.org/wiki/List_of_large_language_models

    The first of a series of free GPT-3 alternatives released by EleutherAI. GPT-Neo outperformed an equivalent-size GPT-3 model on some benchmarks, but was significantly worse than the largest GPT-3. [25] GPT-J: June 2021: EleutherAI: 6 [26] 825 GiB [24] 200 [27] Apache 2.0 GPT-3-style language model Megatron-Turing NLG: October 2021 [28 ...

  4. Turing (programming language) - Wikipedia

    en.wikipedia.org/wiki/Turing_(programming_language)

    Turing was widely used in high schools in Ontario as an introduction to programming. [2] On November 28, 2007, Turing, which was previously a commercial programming language, became freeware, available to download from the developer's website free of charge for personal, commercial, and educational use. [3] [4] [5]

  5. TXL (programming language) - Wikipedia

    en.wikipedia.org/wiki/TXL_(programming_language)

    TXL is a special-purpose programming language originally designed by Charles Halpern-Hamu and James Cordy at the University of Toronto in 1985. The acronym "TXL" originally stood for "Turing eXtender Language" after the language's original purpose, the specification and rapid prototyping of variants and extensions of the Turing programming language, but no longer has any meaningful interpretation.

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  7. Stochastic parrot - Wikipedia

    en.wikipedia.org/wiki/Stochastic_parrot

    In 2023, some LLMs have shown good results on many language understanding tests, such as the Super General Language Understanding Evaluation (SuperGLUE). [ 20 ] [ 21 ] Such tests, and the smoothness of many LLM responses, help as many as 51% of AI professionals believe they can truly understand language with enough data, according to a 2022 survey.

  8. Unrestricted grammar - Wikipedia

    en.wikipedia.org/wiki/Unrestricted_grammar

    The equivalence of unrestricted grammars to Turing machines implies the existence of a universal unrestricted grammar, a grammar capable of accepting any other unrestricted grammar's language given a description of the language. For this reason, it is theoretically possible to build a programming language based on unrestricted grammars (e.g. Thue).

  9. Context-free language - Wikipedia

    en.wikipedia.org/wiki/Context-free_language

    The set of all context-free languages is identical to the set of languages accepted by pushdown automata, which makes these languages amenable to parsing.Further, for a given CFG, there is a direct way to produce a pushdown automaton for the grammar (and thereby the corresponding language), though going the other way (producing a grammar given an automaton) is not as direct.