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  2. Undetectable.ai - Wikipedia

    en.wikipedia.org/wiki/Undetectable.ai

    Undetectable AI (or Undetectable.ai) is an artificial intelligence content detection and modification software designed to identify and alter artificially generated text, such as that produced by large language models.

  3. Artificial intelligence content detection - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence...

    Multiple AI detection tools have been demonstrated to be unreliable in terms of accurately and comprehensively detecting AI-generated text. In a study conducted by Weber-Wulff et al., and published in 2023, researchers evaluated 14 detection tools including Turnitin and GPT Zero, and found that "all scored below 80% of accuracy and only 5 over 70%."

  4. Flux (text-to-image model) - Wikipedia

    en.wikipedia.org/wiki/Flux_(text-to-image_model)

    Flux (also known as FLUX.1) is a text-to-image model developed by Black Forest Labs, based in Freiburg im Breisgau, Germany. Black Forest Labs were founded by former employees of Stability AI. As with other text-to-image models, Flux generates images from natural language descriptions, called prompts.

  5. Google’s new AI tool uses image prompts instead of text

    www.aol.com/google-ai-tool-uses-image-214855525.html

    Since OpenAI initially launched its text-to-image creation tool, Dall-E, in 2021, the concept of AI-generated artwork has swamped social media and become a focus of consumer products. Google’s ...

  6. ChatGPT isn't the only cool AI tool made by OpenAI — check ...

    www.aol.com/chatgpt-isnt-only-cool-ai-181415871.html

    DALL-E . Just months before ChatGPT launched, OpenAI removed the waitlist for its generative AI art generator, DALL-E.It quickly grew to over 1.5 million daily users by September 2022, the company ...

  7. Text-to-image model - Wikipedia

    en.wikipedia.org/wiki/Text-to-image_model

    A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description. Text-to-image models began to be developed in the mid-2010s during the beginnings of the AI boom, as a result of advances in deep neural networks.

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