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  2. Microsoft Copilot - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Copilot

    Copilot can be used to rewrite and generate text based on user prompts in Microsoft 365 services, including Microsoft Word, Microsoft Excel, and PowerPoint. [ 51 ] [ 93 ] According to Jared Spataro, the head of Microsoft 365, Copilot for Microsoft 365 uses Microsoft Graph , an API , to evaluate context and available Microsoft 365 user data ...

  3. Natural-language programming - Wikipedia

    en.wikipedia.org/wiki/Natural-language_programming

    Natural-language programming (NLP) is an ontology-assisted way of programming in terms of natural-language sentences, e.g. English. [1] A structured document with Content, sections and subsections for explanations of sentences forms a NLP document, which is actually a computer program. Natural language programming is not to be mixed up with ...

  4. Natural language processing - Wikipedia

    en.wikipedia.org/wiki/Natural_language_processing

    Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.

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

  6. Comparison of code generation tools - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_code...

    User-defined EMF based models (UML, Ecore, user defined metamodels) Any EMF based input (Xtext DSLs, GMF graphical models, etc.) Any textual language. actifsource: Java Active Tier User-defined Models Import from UML, Ecore. Any textual language. DMS Software Reengineering Toolkit: Several code generation DSLs (attribute grammars, tree patterns ...

  7. BERT (language model) - Wikipedia

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

    Token type: The token type is a standard embedding layer, translating a one-hot vector into a dense vector based on its token type. Position: The position embeddings are based on a token's position in the sequence. BERT uses absolute position embeddings, where each position in sequence is mapped to a real-valued vector.

  8. No apps, no hacks. A guide to optimizing productivity - AOL

    www.aol.com/no-apps-no-hacks-guide-164416943.html

    Editor’s note: Upasna Gautam is a senior product manager on the Platforms team at CNN, where she develops and builds the content management technology that delivers news to the world. I used to ...

  9. Comparison of parser generators - Wikipedia

    en.wikipedia.org/.../Comparison_of_parser_generators

    However, parser generators for context-free grammars often support the ability for user-written code to introduce limited amounts of context-sensitivity. (For example, upon encountering a variable declaration, user-written code could save the name and type of the variable into an external data structure, so that these could be checked against ...

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