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  2. Virtual assistant (occupation) - Wikipedia

    en.wikipedia.org/wiki/Virtual_assistant_(occupation)

    Professionals in this business work on a contractual basis, and a long-lasting cooperation is standard. Typically, administrative experience in an office is expected at such positions as executive assistant, office manager/supervisor, secretary, legal assistant, paralegal, legal secretary, real estate assistant, and information technology.

  3. Virtual assistant - Wikipedia

    en.wikipedia.org/wiki/Virtual_assistant

    Virtual assistants use natural language processing (NLP) to match user text or voice input to executable commands. Some continually learn using artificial intelligence techniques including machine learning and ambient intelligence. To activate a virtual assistant using the voice, a wake word might be used.

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    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  5. Application for employment - Wikipedia

    en.wikipedia.org/wiki/Application_for_employment

    In Spain, the application consists of two parts: the cover letter (Carta de Candidatura) and the CV. No work or training certificates are attached. The cover letter should be short and contain the reason for applying. The CV should be structured in a tabular form. In Spain, multiple job interviews with the same company are common. [citation needed]

  6. Google Assistant - Wikipedia

    en.wikipedia.org/wiki/Google_Assistant

    Google Assistant, in the nature and manner of Google Now, can search the Internet, schedule events and alarms, adjust hardware settings on the user's device, and show information from the user's Google account. Unlike Google Now, however, the Assistant can engage in a two-way conversation, using Google's natural language processing algorithm.

  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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