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An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.
Carbon paper; Blueprint typewriter ribbon; Carbonless copy paper; Photographic processes: Reflex copying process (also reflectography, reflexion copying) Breyertype, Playertype, Manul Process, Typon Process, Dexigraph, Linagraph; Daguerreotype; Salt print; Calotype (the first photo process to use a negative, from which multiple prints could be ...
The sentence "The most merciful thing in the world, I think, is the inability of the human mind to correlate all its contents", in Zalgo textZalgo text is generated by excessively adding various diacritical marks in the form of Unicode combining characters to the letters in a string of digital text. [4]
Markov published his first paper on the topic in 1906, [27] [28] and analyzed the pattern of vowels and consonants in the novel Eugeny Onegin using Markov chains. Once a Markov chain is learned on a text corpus , it can then be used as a probabilistic text generator.
The program did a good job on the map boundaries (the most tedious task in the tracing) and the settings dropped out all the text (small objects). The text was manually re-inserted. Map in PNG format (13 kB) Map after automated conversion and touch up to re-add the labels and adjust colors (18 kB) Other conversions may not go as well.
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Similar capabilities to text-davinci-003 but trained with supervised fine-tuning instead of reinforcement learning GPT-3.5 text-davinci-003 Undisclosed Can do any language task with better quality, longer output, and consistent instruction-following than the curie, babbage, or ada models. Also supports inserting completions within text. GPT-3.5
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