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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. Perplexity AI - Wikipedia

    en.wikipedia.org/wiki/Perplexity_AI

    Perplexity AI is a conversational search engine that uses large language models (LLMs) to answer queries using sources from the web and cites links within the text response. [ 3 ] [ 4 ] Its developer, Perplexity AI, Inc., is based in San Francisco, California .

  4. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Generative AI models are used to power chatbot products such as ChatGPT, programming tools such as GitHub Copilot, [67] text-to-image products such as Midjourney, and text-to-video products such as Runway Gen-2. [68] Generative AI features have been integrated into a variety of existing commercially available products such as Microsoft Office ...

  5. Applications of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Applications_of_artificial...

    AI in architecture has created a way for architects to create things beyond human understanding. AI implementation of machine learning text-to-render technologies, like DALL-E and stable Diffusion, gives power to visualization complex. [379] AI allows designers to demonstrate their creativity and even invent new ideas while designing.

  6. Semantic Scholar - Wikipedia

    en.wikipedia.org/wiki/Semantic_Scholar

    Semantic Scholar is a research tool for scientific literature powered by artificial intelligence. It is developed at the Allen Institute for AI and was publicly released in November 2015. [ 2 ] Semantic Scholar uses modern techniques in natural language processing to support the research process, for example by providing automatically generated ...

  7. Cohere CEO Aidan Gomez on what to expect from 'AI 2.0' - AOL

    www.aol.com/cohere-ceo-aidan-gomez-expect...

    Companies will soon focus on customizing AI solutions for specific needs, Cohere's CEO says. AI 2.0 will "help fundamentally transform how businesses operate," he wrote. Major AI companies like ...

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