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  2. Self (programming language) - Wikipedia

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

    Self is a general-purpose, high-level, object-oriented programming language based on the concept of prototypes.Self began as a dialect of Smalltalk, being dynamically typed and using just-in-time compilation (JIT) with the prototype-based approach to objects: it was first used as an experimental test system for language design in the 1980s and 1990s.

  3. 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. LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text. The largest and most capable LLMs are generative pretrained transformers (GPTs).

  4. Complex dynamic systems theory - Wikipedia

    en.wikipedia.org/wiki/Complex_dynamic_systems_theory

    In second language development change occurs through self-organization which can take place unpredictably. Language learners' are dependent on internal and external resources. Internal resources are the motivational factors of the language learners, while the language teacher or the environment are examples of the external resources.

  5. BERT (language model) - Wikipedia

    en.wikipedia.org/wiki/BERT_(language_model)

    Unlike previous models, BERT is a deeply bidirectional, unsupervised language representation, pre-trained using only a plain text corpus. Context-free models such as word2vec or GloVe generate a single word embedding representation for each word in the vocabulary, whereas BERT takes into account the context for each occurrence of a given word ...

  6. Foundation model - Wikipedia

    en.wikipedia.org/wiki/Foundation_model

    A foundation model, also known as large X model (LxM), is a machine learning or deep learning model that is trained on vast datasets so it can be applied across a wide range of use cases. [1] Generative AI applications like Large Language Models are often examples of foundation models. [1]

  7. Language model - Wikipedia

    en.wikipedia.org/wiki/Language_model

    A language model is a model of natural language. [1] Language models are useful for a variety of tasks, including speech recognition, [2] machine translation, [3] natural language generation (generating more human-like text), optical character recognition, route optimization, [4] handwriting recognition, [5] grammar induction, [6] and information retrieval.

  8. Intrapersonal communication - Wikipedia

    en.wikipedia.org/wiki/Intrapersonal_communication

    The development of this sense in children is tied to the development of language. [101] There are, however, cases of an internal monologue or inner voice being considered external to the self. Examples are auditory hallucinations, [102] the conceptualization of negative or critical thoughts as an inner critic, or a kind of divine intervention.

  9. Theories of second-language acquisition - Wikipedia

    en.wikipedia.org/wiki/Theories_of_second...

    The main purpose of theories of second-language acquisition (SLA) is to shed light on how people who already know one language learn a second language. The field of second-language acquisition involves various contributions, such as linguistics, sociolinguistics, psychology, cognitive science, neuroscience, and education. These multiple fields ...