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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. 13 Ways To Use AI To Become a Better Writer - AOL

    www.aol.com/13-ways-ai-become-better-144100048.html

    6. Explain complex topics in new ways. Generative AI can even help you better understand the topics you’re writing about, especially if the tool you’re using is connected to the internet.

  4. Otter.ai - Wikipedia

    en.wikipedia.org/wiki/Otter.ai

    Otter.ai was founded as AISense in 2016 by Sam Liang and Yun Fu, two computer science engineers with a long history of working with artificial intelligence. [ 2 ] [ 3 ] In January 2018, the company announced a partnership with Zoom Video Communications to transcribe video meetings post-conference. [ 4 ]

  5. Apple Intelligence - Wikipedia

    en.wikipedia.org/wiki/Apple_Intelligence

    Apple Intelligence features writing tools that are powered by AI, including Rewrite, and Proofread. These features help enhance users' writing to make it more friendly, concise or professional, similar to Grammarly's AI writing features. It can also be used to generate summaries, key points, tables, and lists from an article or piece of writing.

  6. Opinion: AI-assisted writing is close to becoming as standard ...

    www.aol.com/news/opinion-ai-assisted-writing...

    Using AI to generate ideas, create an outline and provide specific instructions for writing each paragraph, Terry wasn’t using an AI assistant; he had become the assistant — and so will we.

  7. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]

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