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  2. Flow-based generative model - Wikipedia

    en.wikipedia.org/wiki/Flow-based_generative_model

    A flow-based generative model is a generative model used in machine learning that explicitly models a probability distribution by leveraging normalizing flow, [1] [2] [3] which is a statistical method using the change-of-variable law of probabilities to transform a simple distribution into a complex one.

  3. Generative AI in the classroom - AOL

    www.aol.com/generative-ai-classroom-130100775.html

    He used career technical education as an example model for the type of hands-on, engaged learning that results in a final product or project demonstrating a student's knowledge of a subject.

  4. Generative model - Wikipedia

    en.wikipedia.org/wiki/Generative_model

    Analogously, a classifier based on a generative model is a generative classifier, while a classifier based on a discriminative model is a discriminative classifier, though this term also refers to classifiers that are not based on a model. Standard examples of each, all of which are linear classifiers, are: generative classifiers:

  5. Generative artificial intelligence - Wikipedia

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

    Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...

  6. 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]

  7. Instructional design - Wikipedia

    en.wikipedia.org/wiki/Instructional_design

    Instructional design (ID), also known as instructional systems design and originally known as instructional systems development (ISD), is the practice of systematically designing, developing and delivering instructional materials and experiences, both digital and physical, in a consistent and reliable fashion toward an efficient, effective, appealing, engaging and inspiring acquisition of ...

  8. Recurrent neural network - Wikipedia

    en.wikipedia.org/wiki/Recurrent_neural_network

    Memristive networks are a particular type of physical neural network that have very similar properties to (Little-)Hopfield networks, as they have continuous dynamics, a limited memory capacity and natural relaxation via the minimization of a function which is asymptotic to the Ising model. In this sense, the dynamics of a memristive circuit ...

  9. Cluster grouping - Wikipedia

    en.wikipedia.org/wiki/Cluster_grouping

    Cluster grouping is an educational process in which four to six gifted and talented (GT) or high-achieving students or both are assigned to an otherwise heterogeneous classroom within their grade to be instructed by a teacher who has had specialized training in differentiating for gifted learners. [1]

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