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  2. Automatic summarization - Wikipedia

    en.wikipedia.org/wiki/Automatic_summarization

    Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.

  3. Document AI - Wikipedia

    en.wikipedia.org/wiki/Document_ai

    Data is typically distinguished in spatial data and time-series data, the former can be things like images, maps, graphs, etc. the latter can be e.g. stock-price or a voice recording. Document AI combines text data, which has a time dimension, with other types of data, such as the position of an address in a business letter, which is spatial.

  4. Multi-document summarization - Wikipedia

    en.wikipedia.org/wiki/Multi-document_summarization

    Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents.

  5. Google Chrome will use generative AI to summarize articles - AOL

    www.aol.com/news/google-chrome-generative-ai...

    The idea is that you open a long-form article of some kind and Google's AI puts together a bullet-point list of key points within the article. Click on one, and it's supposed to take you to the ...

  6. Comparison of documentation generators - Wikipedia

    en.wikipedia.org/wiki/Comparison_of...

    fully cross-linked project-wide, including all hierarchy and dependency graphs, metrics tables, source code snippets, and source files full semantic analysis of source code, including parameter types, conditional compilation directives, macro expansions Javadoc: JSDoc: Yes JsDoc Toolkit: Yes mkd: Customisable for all type of comments 'as-is' in ...

  7. OpenAI Codex - Wikipedia

    en.wikipedia.org/wiki/OpenAI_Codex

    OpenAI Codex is an artificial intelligence model developed by OpenAI.It parses natural language and generates code in response. It powers GitHub Copilot, a programming autocompletion tool for select IDEs, like Visual Studio Code and Neovim. [1]

  8. Coding Analysis Toolkit - Wikipedia

    en.wikipedia.org/wiki/Coding_Analysis_Toolkit

    CAT or Coding Analysis Toolkit was a web-based suite of CAQDAS tools. It is free and open source software, and is developed by the Qualitative Data Analysis Program of the University of Pittsburgh. According to the CAT website, [1] the tool was decommissioned on September 13, 2020. CAT is able to import Atlas.ti data, but also has an internal ...

  9. OpenAI - Wikipedia

    en.wikipedia.org/wiki/OpenAI

    Former headquarters at the Pioneer Building in San Francisco. In December 2015, OpenAI was founded by Sam Altman, Elon Musk, Ilya Sutskever, Greg Brockman, Trevor Blackwell, Vicki Cheung, Andrej Karpathy, Durk Kingma, John Schulman, Pamela Vagata, and Wojciech Zaremba, with Sam Altman and Elon Musk as the co-chairs.

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