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  2. 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 uses learning and intelligence to take actions that maximize their chances of achieving defined goals.

  3. SK Telecom partners with AI search startup Perplexity in Korea

    www.aol.com/news/sk-telecom-partners-ai-search...

    SK Telecom, South Korea's largest telco, is partnering with U.S. AI startup Perplexity to offer the artificial intelligence-based search engine to its users as an alternative to Google and Naver ...

  4. Otter.ai - Wikipedia

    en.wikipedia.org/wiki/Otter.ai

    Otter.ai. Otter.ai, Inc. is a Mountain View, California -based technology company that develops speech to text transcription applications using artificial intelligence and machine learning. Its software, called Otter, shows captions for live speakers, and generates written transcriptions of speech. [1]

  5. File:Perplexity AI logo.svg - Wikipedia

    en.wikipedia.org/wiki/File:Perplexity_AI_logo.svg

    File:Perplexity AI logo.svg. File. File history. File usage. Metadata. Size of this PNG preview of this SVG file: 512 × 123 pixels. Other resolutions: 320 × 77 pixels | 640 × 154 pixels | 1,024 × 246 pixels | 1,280 × 308 pixels | 2,560 × 615 pixels. Original file ‎ (SVG file, nominally 512 × 123 pixels, file size: 4 KB) This is a file ...

  6. Perplexity (video game) - Wikipedia

    en.wikipedia.org/wiki/Perplexity_(video_game)

    Perplexity is an isometric pseudo 3D maze game which graphically resembles the 1987 arcade game Pac-Mania (both the maze view and main characters) but while it does share some gameplay elements, the game is a much more calm and organised playing experience with the emphasis on puzzle-solving and as such has been described as a 3D version of Repton.

  7. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    Perplexity. The most commonly used measure of a language model's performance is its perplexity on a given text corpus. Perplexity is a measure of how well a model is able to predict the contents of a dataset; the higher the likelihood the model assigns to the dataset, the lower the perplexity.

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