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  2. Testing effect - Wikipedia

    en.wikipedia.org/wiki/Testing_effect

    The pre-testing effect, also known as errorful generation or pre-questioning, is a related but distinct category where testing material before the material has been learned appears to lead to better subsequent learning performance than would have been the case without the pre-test, provided that feedback is given as to the correct answers once ...

  3. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  4. Generation effect - Wikipedia

    en.wikipedia.org/wiki/Generation_effect

    The generation effect is typically achieved in cognitive psychology experiments by asking participants to generate words from word fragments. [2] This effect has also been demonstrated using a variety of other materials, such as when generating a word after being presented with its antonym, [3] synonym, [1] picture, [4] arithmetic problems, [2] [5] or keyword in a paragraph. [6]

  5. Educational technology - Wikipedia

    en.wikipedia.org/wiki/Educational_technology

    Collaborative learning is a group-based learning approach in which learners are mutually engaged in a coordinated fashion to achieve a learning goal or complete a learning task. With recent developments in smartphone technology, the processing powers and storage capabilities of modern mobiles allow for advanced development and the use of apps.

  6. Gen Z is the most eager generation to retire early. Good luck ...

    www.aol.com/finance/gen-z-most-eager-generation...

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  7. Generative model - Wikipedia

    en.wikipedia.org/wiki/Generative_model

    For example, GPT-3, and its precursor GPT-2, [11] are auto-regressive neural language models that contain billions of parameters, BigGAN [12] and VQ-VAE [13] which are used for image generation that can have hundreds of millions of parameters, and Jukebox is a very large generative model for musical audio that contains billions of parameters.

  8. The best Dutch ovens of 2025, tested by AOL

    www.aol.com/lifestyle/best-dutch-ovens-190855583...

    There are a wide range of Dutch ovens out there today, and they vary in size, material, and price. To help you find the best option to add to your kitchen, we spent months testing a total of 10 ...

  9. Meta to end fact-checking, replacing it with system similar ...

    www.aol.com/news/meta-end-fact-checking...

    Meta CEO Mark Zuckerberg on Tuesday said the social media company is ending its fact-checking program and replacing it with a community-driven system similar to that of Elon Musk's X. Zuckerberg ...