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An incantation, spell, charm, enchantment, or bewitchery is a magical formula intended to trigger a magical effect on a person or objects. The formula can be spoken, sung, or chanted . An incantation can also be performed during ceremonial rituals or prayers .
Wizards must learn how to control their magic. In young and untrained children, magical effects will occur spontaneously during moments of strong emotion. [4] For example, Harry Potter liberates a boa constrictor at the London Zoo and inflates his Aunt Marge to an enormous size.
The Enchantments, an area within the Alpine Lakes Wilderness of the Cascade Range; Enchantment, a way to improve equipment using magic in the video game Minecraft; Enchantment (social sciences), technical term used to describe the ways in which people create moments of wonder in the midst of everyday life
Enchantment is a term widely used to describe something delightful, possibly magical, that causes a feeling of wonder. It has been adapted by a range of scholars across multiple disciplines, especially anthropology and sociology, and then later urban studies, to describe the ways in which people create moments of wonder in the midst of everyday ...
If you're having trouble connecting to AOL Mail through a third-party app, you may need to update your settings. Learn how to update your app's secure connection settings.
Homebrew, when applied to video games, refers to software produced by hobbyists for proprietary video game consoles which are not intended to be user-programmable. The official documentation is often only available to licensed developers, and these systems may use storage formats that make distribution difficult, such as ROM cartridges or encrypted CD-ROMs.
The Uses of Enchantment: The Meaning and Importance of Fairy Tales is a 1976 book by Bruno Bettelheim, in which the author analyzes fairy tales in terms of Freudian psychoanalysis. The book has been a subject of controversy regarding possible plagiarism.
Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.