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  2. Attention (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Attention_(machine_learning)

    During the deep learning era, attention mechanism was developed to solve similar problems in encoding-decoding. [1]In machine translation, the seq2seq model, as it was proposed in 2014, [24] would encode an input text into a fixed-length vector, which would then be decoded into an output text.

  3. Variable envelope return path - Wikipedia

    en.wikipedia.org/wiki/Variable_envelope_return_path

    From this bounce message the mailing list manager can deduce that a message to bob@example.org must have failed. This example shows the simplest possible method of matching a VERP to a list subscriber: the entire recipient address is included within the return path, with the at sign replaced by an equals sign because a return path with two at ...

  4. 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. [78]

  5. One Tech Tip: How to spot AI-generated deepfake images - AOL

    www.aol.com/news/one-tech-tip-spot-ai-052451355.html

    All this being said, artificial intelligence has been advancing with breakneck speed and AI models are being trained on internet data to produce increasingly higher-quality content with fewer flaws.

  6. Access AOL Mail on mobile devices

    help.aol.com/articles/aol-mail-mobile-mail

    The AOL App gives you access to all the best of AOL, including Mail's innovative features and settings. With the app version of AOL Mail, you'll be able to add accounts, send mail, organize your mailbox, and more on either Android or iOS.

  7. Attention Is All You Need - Wikipedia

    en.wikipedia.org/wiki/Attention_Is_All_You_Need

    Scaled dot-product attention & self-attention. The use of the scaled dot-product attention and self-attention mechanism instead of a Recurrent neural network or Long short-term memory (which rely on recurrence instead) allow for better performance as described in the following paragraph. The paper described the scaled-dot production as follows:

  8. Add or disable 2-step verification for extra security - AOL Help

    help.aol.com/articles/2-step-verification...

    Important - You may not see this option as it yet available for all accounts. 1. Sign in to your Account Security page. 2. Next to "2-Step Verification," click Turn on 2SV. 3. Click Get started. 4. Select Authenticator app for your 2-step verification method.-To see this option, you'll need to have at least 2 recovery methods on your account . 5.

  9. AOHell - Wikipedia

    en.wikipedia.org/wiki/AOHell

    AOHell was the first of what would become thousands of programs designed for hackers created for use with AOL. In 1994, seventeen year old hacker Koceilah Rekouche, from Pittsburgh, PA, known online as "Da Chronic", [1] [2] used Visual Basic to create a toolkit that provided a new DLL for the AOL client, a credit card number generator, email bomber, IM bomber, and a basic set of instructions. [3]

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