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  2. ML (programming language) - Wikipedia

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

    ML (Meta Language) is a general-purpose, high-level, functional programming language.It is known for its use of the polymorphic Hindley–Milner type system, which automatically assigns the data types of most expressions without requiring explicit type annotations (type inference), and ensures type safety; there is a formal proof that a well-typed ML program does not cause runtime type errors. [1]

  3. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]

  4. Standard ML - Wikipedia

    en.wikipedia.org/wiki/Standard_ML

    Poplog implements a version of Standard ML, along with Common Lisp and Prolog, allowing mixed language programming; all are implemented in POP-11, which is compiled incrementally. TILT is a full certifying compiler for Standard ML which uses typed intermediate languages to optimize code and ensure correctness, and can compile to typed assembly ...

  5. ML - Wikipedia

    en.wikipedia.org/wiki/ML

    Megalitre or megaliter (ML, Ml, or Mℓ), a unit of volume; Millilitre or milliliter (mL, ml, or mℓ), a unit of volume; Millilambert (mL), a non-SI unit of luminance; Richter magnitude scale (M L), used to measure earthquakes; Megalangmuir (ML), a unit of exposure of a surface to a given chemical species (convention is 1 ML=monolayer=1 Langmuir)

  6. Generative pre-trained transformer - Wikipedia

    en.wikipedia.org/wiki/Generative_pre-trained...

    Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.

  7. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation.As language models, LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a self-supervised and semi-supervised training process.

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  9. Natural language processing - Wikipedia

    en.wikipedia.org/wiki/Natural_language_processing

    Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.