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  2. Neural Network Intelligence - Wikipedia

    en.wikipedia.org/wiki/Neural_Network_Intelligence

    This artificial intelligence -related article is a stub. You can help Wikipedia by expanding it.

  3. List of artificial intelligence projects - Wikipedia

    en.wikipedia.org/wiki/List_of_artificial...

    Blue Brain Project, an attempt to create a synthetic brain by reverse-engineering the mammalian brain down to the molecular level. [1] Google Brain, a deep learning project part of Google X attempting to have intelligence similar or equal to human-level. [2] Human Brain Project, ten-year scientific research project, based on exascale ...

  4. freeCodeCamp - Wikipedia

    en.wikipedia.org/wiki/FreeCodeCamp

    freeCodeCamp (also referred to as Free Code Camp) is a non-profit educational organization [4] that consists of an interactive learning web platform, an online community forum, chat rooms, online publications and local organizations that intend to make learning software development accessible to anyone.

  5. Codecademy - Wikipedia

    en.wikipedia.org/wiki/Codecademy

    The platform provides a hands-on learning experience, allowing users to write and execute code directly within their web browsers. Codecademy offers courses covering languages such as Python, JavaScript, HTML/CSS, and Ruby, as well as specialized topics like web development, data science, and machine learning.

  6. Category:Virtual learning environments - Wikipedia

    en.wikipedia.org/wiki/Category:Virtual_learning...

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Pages for logged out editors learn more

  7. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]

  8. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to produce because of the large amount of time needed to label the data. Although they do not need to be labeled, high-quality datasets for unsupervised learning can also be difficult and costly to produce ...

  9. Retrieval-augmented generation - Wikipedia

    en.wikipedia.org/wiki/Retrieval-augmented_generation

    Retrieval Augmented Generation (RAG) is a technique that grants generative artificial intelligence models information retrieval capabilities. It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information to augment information drawn from its own vast, static training data.