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  2. Question answering - Wikipedia

    en.wikipedia.org/wiki/Question_answering

    Accepting natural language questions makes the system more user-friendly, but harder to implement, as there are a variety of question types and the system will have to identify the correct one in order to give a sensible answer. Assigning a question type to the question is a crucial task; the entire answer extraction process relies on finding ...

  3. ChaCha (search engine) - Wikipedia

    en.wikipedia.org/wiki/ChaCha_(search_engine)

    An alpha version of ChaCha was launched on September 1, 2006. A beta version was introduced on November 6, 2006. [2] ChaCha said 20,000 guides had registered by year's end and that it had raised US$6 million in development funds, including support from Bezos Expeditions, a personal investment firm owned by Jeff Bezos, the entrepreneur behind Amazon.com. [3]

  4. 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 .

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

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

    Ask it a question, and it can browse the web "the way you do," Google said in a blog post. It'll ultimately generate a report you can export to Google Docs that contains key points and links to ...

  6. WolframAlpha - Wikipedia

    en.wikipedia.org/wiki/WolframAlpha

    Users submit queries and computation requests via a text field. WolframAlpha then computes answers and relevant visualizations from a knowledge base of curated, structured data that come from other sites and books. It can respond to particularly phrased natural language fact-based questions. It displays its "Input interpretation" of such a ...

  7. GPT-2 - Wikipedia

    en.wikipedia.org/wiki/GPT-2

    It is a general-purpose learner and its ability to perform the various tasks was a consequence of its general ability to accurately predict the next item in a sequence, [2] [7] which enabled it to translate texts, answer questions about a topic from a text, summarize passages from a larger text, [7] and generate text output on a level sometimes ...