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  2. The Latest Gmail Update Includes 1 Risky AI Feature You Need ...

    www.aol.com/latest-gmail-includes-1-risky...

    In Gmail, click the Settings button and then “See all settings.“ Under the “General” tab, scroll to “Google Workspace smart features.” Click “Manage Workspace smart feature settings.”

  3. Google shows off astonishing vision for how AI will work with ...

    www.aol.com/google-shows-off-ai-gmail-175139026.html

    A day after OpenAI impressed with a startlingly improved ChatGPT AI model, Google showed off an equally stunning vision for how AI will improve the products that billions of people use every day.

  4. Gmail and Google Workspace get the AI treatment at Google I/O

    www.aol.com/finance/gmail-google-workspace-ai...

    So, it was all AI, all the time at Google I/O, including for one of the company's most visible products outside Search, Google Workspace – a suite of productivity products that includes apps ...

  5. Generative artificial intelligence - Wikipedia

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

    Generative AI features have been integrated into a variety of existing commercially available products such as Microsoft Office (Microsoft Copilot), [85] Google Photos, [86] and the Adobe Suite (Adobe Firefly). [87] Many generative AI models are also available as open-source software, including Stable Diffusion and the LLaMA [88] language model.

  6. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    DALL-E was revealed by OpenAI in a blog post on 5 January 2021, and uses a version of GPT-3 [5] modified to generate images.. On 6 April 2022, OpenAI announced DALL-E 2, a successor designed to generate more realistic images at higher resolutions that "can combine concepts, attributes, and styles". [6]

  7. Text-to-image model - Wikipedia

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

    An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.

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