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  2. BERT (language model) - Wikipedia

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

    After pre-training, BERT can be fine-tuned with fewer resources on smaller datasets to optimize its performance on specific tasks such as NLP tasks (language inference, text classification) and sequence-to-sequence based language generation tasks (question-answering, conversational response generation).

  3. Methods of neuro-linguistic programming - Wikipedia

    en.wikipedia.org/wiki/Methods_of_neuro...

    The methods of neuro-linguistic programming are the specific techniques used to perform and teach neuro-linguistic programming, [1] [2] which teaches that people are only able to directly perceive a small part of the world using their conscious awareness, and that this view of the world is filtered by experience, beliefs, values, assumptions ...

  4. Deep linguistic processing - Wikipedia

    en.wikipedia.org/wiki/Deep_linguistic_processing

    Deep linguistic processing is a natural language processing framework which draws on theoretical and descriptive linguistics. It models language predominantly by way of theoretical syntactic/semantic theory (e.g. CCG, HPSG, LFG, TAG, the Prague School ). Deep linguistic processing approaches differ from "shallower" methods in that they yield ...

  5. How J. Jill is using an ERG to incubate company-wide ... - AOL

    www.aol.com/finance/j-jill-using-erg-incubate...

    The group started a mentorship program last year, first pairing 10 members with leaders in different parts of the organization. The company expanded the program to 38 employees at the end of 2023 ...

  6. 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 than can produce understandable texts in English or other human languages from some underlying non-linguistic ...

  7. IBM Watson - Wikipedia

    en.wikipedia.org/wiki/IBM_Watson

    Description The high-level architecture of IBM's DeepQA used in Watson. Watson was created as a question answering (QA) computing system that IBM built to apply advanced natural language processing, information retrieval, knowledge representation, automated reasoning, and machine learning technologies to the field of open domain question answering.

  8. Neuro-linguistic programming - Wikipedia

    en.wikipedia.org/wiki/Neuro-linguistic_programming

    NLP. Neuro-linguistic programming ( NLP) is a pseudoscientific approach to communication, personal development and psychotherapy, that first appeared in Richard Bandler and John Grinder 's 1975 book The Structure of Magic I. NLP asserts that there is a connection between neurological processes, language and acquired behavioral patterns, and ...

  9. Empowerment (artificial intelligence) - Wikipedia

    en.wikipedia.org/wiki/Empowerment_(artificial...

    Empowerment in the field of artificial intelligence formalises and quantifies (via information theory) the potential an agent perceives that it has to influence its environment. [1] [2] An agent which follows an empowerment maximising policy, acts to maximise future options (typically up to some limited horizon).