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  2. Perplexity AI - Wikipedia

    en.wikipedia.org/wiki/Perplexity_AI

    Perplexity AI is an AI-powered research and conversational search engine that answers queries using natural language predictive text. It is based in San Francisco, California . Founded in 2022, Perplexity generates answers using sources from the web and cites links within the text response. [ 2 ]

  3. Google - Wikipedia

    en.wikipedia.org/wiki/Google

    Then Chairman and CEO Eric Schmidt (left) with co-founders Sergey Brin (center) and Larry Page (right) in 2008. Google LLC (/ ˈ ɡ uː ɡ ə l / ⓘ GOO-ghəl) is an American multinational corporation and technology company focusing on online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, consumer electronics, and artificial ...

  4. Google nears release of AI software Gemini - The Information

    www.aol.com/news/google-nears-release-ai...

    For Google, the stakes of Gemini's launch are high. Google has intensified investments in generative AI this year as it plays catch-up after Microsoft-backed OpenAI's launch of ChatGPT last year ...

  5. Anthropic - Wikipedia

    en.wikipedia.org/wiki/Anthropic

    Claude 3 was released on March 4, 2024, unveiling three language models: Opus, Sonnet, and Haiku. [45] [46] The Opus model is the largest and most capable—according to Anthropic, it outperforms the leading models from OpenAI (GPT-4, GPT-3.5) and Google (Gemini Ultra). [45]

  6. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    DALL·E was developed and announced to the public in conjunction with CLIP (Contrastive Language-Image Pre-training). [23] CLIP is a separate model based on contrastive learning that was trained on 400 million pairs of images with text captions scraped from the Internet. Its role is to "understand and rank" DALL·E's output by predicting which ...

  7. Transformer (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Transformer_(deep_learning...

    For many years, sequence modelling and generation was done by using plain recurrent neural networks (RNNs). A well-cited early example was the Elman network (1990). In theory, the information from one token can propagate arbitrarily far down the sequence, but in practice the vanishing-gradient problem leaves the model's state at the end of a long sentence without precise, extractable ...

  8. File:Google Gemini logo.svg - Wikipedia

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

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Donate; Help; Learn to edit; Community portal; Recent changes; Upload file

  9. Google Assistant - Wikipedia

    en.wikipedia.org/wiki/Google_Assistant

    Google Assistant, in the nature and manner of Google Now, can search the Internet, schedule events and alarms, adjust hardware settings on the user's device, and show information from the user's Google account. Unlike Google Now, however, the Assistant can engage in a two-way conversation, using Google's natural language processing algorithm.