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  2. Résumé - Wikipedia

    en.wikipedia.org/wiki/Résumé

    The dictionary definition of curriculum vitae at Wiktionary Bennett, Scott A. The Elements of Résumé Style: Essential Rules and Eye-Opening Advice for Writing Résumés and Cover Letters that Work. AMACOM, 2005 ISBN 0-8144-7280-X. Whitcomb, Susan Britton. Resume Magic: Trade Secrets of a Professional Resume Writer, Third Edition.

  3. Curriculum vitae - Wikipedia

    en.wikipedia.org/wiki/Curriculum_vitae

    The English plural of curriculum vitae is however almost always curricula vitae as in Latin, and this is the only form recorded in the Merriam-Webster, American Heritage, and Oxford English dictionaries, for example [1] [2] [3] (the very rare claim that the Latin plural should be curricula vitarum is in fact an incorrect hypercorrection based ...

  4. Microsoft Word - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Word

    Microsoft Word is a word processing program developed by Microsoft.It was first released on October 25, 1983, [11] under the name Multi-Tool Word for Xenix systems. [12] [13] [14] Subsequent versions were later written for several other platforms including: IBM PCs running DOS (1983), Apple Macintosh running the Classic Mac OS (1985), AT&T UNIX PC (1985), Atari ST (1988), OS/2 (1989 ...

  5. Perplexity AI - Wikipedia

    en.wikipedia.org/wiki/Perplexity_AI

    Aravind Srinivas at the 2024 TechCrunch Disrupt. Perplexity was founded in 2022 by Aravind Srinivas, Andy Konwinski, Denis Yarats and Johnny Ho, engineers with backgrounds in back-end systems, artificial intelligence (AI) and machine learning:

  6. 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.

  7. Transformer (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Transformer_(deep_learning...

    For many years, sequence modelling and generation was done by using plain recurrent neural networks (RNNs). A well-cited early example was the Elman network (1990). In theory, the information from one token can propagate arbitrarily far down the sequence, but in practice the vanishing-gradient problem leaves the model's state at the end of a long sentence without precise, extractable ...

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