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  2. 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. [3] Its developer, Perplexity AI, Inc., is based in San Francisco, California. [4] Founded in 2022, Perplexity generates answers using sources from the web and cites links within the text response. [5]

  3. Generative artificial intelligence - Wikipedia

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

    Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...

  4. 5 new AI products worth trying from the avalanche of ... - AOL

    www.aol.com/5-ai-products-worth-trying-103201896...

    It was an overwhelming week in AI product launches. OpenAI's 12 Days of "Shipmas" continued, Google launched a host of AI products, and new Apple Intelligence features arrived.. Here are 5 of the ...

  5. Sparrow (chatbot) - Wikipedia

    en.wikipedia.org/wiki/Sparrow_(chatbot)

    Sparrow answers a question and follow-up question using evidence. Sparrow is a chatbot developed by the artificial intelligence research lab DeepMind , a subsidiary of Alphabet Inc. It is designed to answer users' questions correctly, while reducing the risk of unsafe and inappropriate answers. [ 1 ]

  6. Google AI - Wikipedia

    en.wikipedia.org/wiki/Google_AI

    Google collects its AI initiatives under Google.ai. Archived October 8, 2018, at the Wayback Machine. Google collects AI-based services across the company into Google.ai – "Google.ai is a collection of products and teams across Alphabet with a focus on AI." Google's deep focus on AI is paying off. Archived October 20, 2020, at the Wayback ...

  7. Question answering - Wikipedia

    en.wikipedia.org/wiki/Question_answering

    Question answering (QA) is a computer science discipline within the fields of information retrieval and natural language processing (NLP) that is concerned with building systems that automatically answer questions that are posed by humans in a natural language.

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