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  2. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT is a chatbot and virtual assistant developed by OpenAI and launched on November 30, 2022. Based on large language models (LLMs), it enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. Successive user prompts and replies are considered at each conversation stage as context.

  3. Question answering - Wikipedia

    en.wikipedia.org/wiki/Question_answering

    Question answering. Question answering ( QA) is a computer science discipline within the fields of information retrieval and natural language processing (NLP) that is concerned with building systems that automatically answer questions that are posed by humans in a natural language. [1]

  4. Cambridge Assessment English - Wikipedia

    en.wikipedia.org/wiki/Cambridge_Assessment_English

    Cambridge Assessment English or Cambridge English develops and produces Cambridge English Qualifications and the International English Language Testing System ().The organisation contributed to the development of the Common European Framework of Reference for Languages (CEFR), the standard used around the world to benchmark language skills, [2] and its qualifications and tests are aligned with ...

  5. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    A large language model (LLM) is a computational model notable for its ability to achieve general-purpose language generation and other natural language processing tasks such as classification. Based on language models , LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a computationally ...

  6. BERT (language model) - Wikipedia

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

    Apache 2.0. Website. arxiv .org /abs /1810 .04805. Bidirectional Encoder Representations from Transformers ( BERT) is a language model introduced in October 2018 by researchers at Google. [ 1][ 2] It learned by self-supervised learning to represent text as a sequence of vectors. It had the transformer encoder architecture.

  7. Context-free grammar - Wikipedia

    en.wikipedia.org/wiki/Context-free_grammar

    In formal language theory, a context-free grammar ( CFG) is a formal grammar whose production rules can be applied to a nonterminal symbol regardless of its context. In particular, in a context-free grammar, each production rule is of the form. with a single nonterminal symbol, and a string of terminals and/or nonterminals ( can be empty).

  8. English as a second or foreign language - Wikipedia

    en.wikipedia.org/wiki/English_as_a_second_or...

    English classes in Moscow in 1964. English as a second or foreign language refers to the use of English by individuals whose native language is different, commonly among students learning to speak and write English. Variably known as English as a foreign language (EFL), English as a second language (ESL), English for speakers of other languages ...

  9. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    Prompt engineering is enabled by in-context learning, defined as a model's ability to temporarily learn from prompts. The ability for in-context learning is an emergent ability [ 14] of large language models. In-context learning itself is an emergent property of model scale, meaning breaks [ 15] in downstream scaling laws occur such that its ...