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Thing Explainer: Complicated Stuff in Simple Words is a 2015 illustrated non-fiction book created by Randall Munroe, in which the author attempts to explain various complex subjects using only the 1,000 most common English words. Munroe conceptualized the book in 2012, when drawing a schematic of the Saturn V rocket for his webcomic xkcd.
Re-captioning is used to augment training data, by using a video-to-text model to create detailed captions on videos. [7] OpenAI trained the model using publicly available videos as well as copyrighted videos licensed for the purpose, but did not reveal the number or the exact source of the videos. [5]
By utilizing a pre-trained image diffusion model as a base generator, the model efficiently generated high-quality and coherent videos. Fine-tuning the pre-trained model on video data addressed the domain gap between image and video data, enhancing the model's ability to produce realistic and consistent video sequences. [14]
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The way words are often used together. For example, “do the dishes” and “do homework”, but “make the bed” and “make noise”. Colloquialism A word or phrase used in conversation – usually in small regions of the English-speaking world – but not in formal speech or writing: “Like, this dude came onto her real bad.”
The dictionary is currently in its sixth edition. The premium website was revised in 2014 and 2015. It now offers over a million corpus examples (exceeding the paper version's), and includes sound files for every word, 88,000 example sentences, and various tools for study, teaching, examinations and grammar.
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Above: An image classifier, an example of a neural network trained with a discriminative objective. Below: A text-to-image model, an example of a network trained with a generative objective. Since its inception, the field of machine learning used both discriminative models and generative models, to model and predict data.
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related to: simple terms generator with words and examples video for teachers edition