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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 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 .

  3. QR code - Wikipedia

    en.wikipedia.org/wiki/QR_Code

    The QR code system was invented in 1994, at the Denso Wave automotive products company, in Japan. [6] [7] [8] The initial alternating-square design presented by the team of researchers, headed by Masahiro Hara, was influenced by the black counters and the white counters played on a Go board; [9] the pattern of the position detection markers was determined by finding the least-used sequence of ...

  4. OpenAI Codex - Wikipedia

    en.wikipedia.org/wiki/OpenAI_Codex

    A very powerful language model called OpenAI Codex was created expressly to generate code in response to natural language commands. It is capable of understanding and producing code in a multitude of areas because it is compatible with a large number of programming languages and libraries.

  5. LinkedIn unveils platform for recruiters that uses AI to find ...

    www.aol.com/finance/linkedin-unveils-platform...

    LinkedIn unveiled a slate of new AI tools on Tuesday, including a revamp of its recruiter platform for sourcing talent. The professional networking site will gradually roll out its first features ...

  6. Comparison of documentation generators - Wikipedia

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

    internal links and links to .NET framework documentation types extracted and linked Doxygen: with XSLT caller and callee graphs, dependency graphs, inheritance diagrams, collaboration diagrams Epydoc: Haddock: Yes Yes HeaderDoc: Custom headers, footers, code coloring, and other CSS styles in individual pages.

  7. Generative artificial intelligence - Wikipedia

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

    Generative AI can also be trained on the motions of a robotic system to generate new trajectories for motion planning or navigation. For example, UniPi from Google Research uses prompts like "pick up blue bowl" or "wipe plate with yellow sponge" to control movements of a robot arm. [ 62 ]

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