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On Wikipedia and other sites running on MediaWiki, Special:Random can be used to access a random article in the main namespace; this feature is useful as a tool to generate a random article. Depending on your browser, it's also possible to load a random page using a keyboard shortcut (in Firefox , Edge , and Chrome Alt-Shift + X ).
Studying a random selection is a more practical approach to get a grasp on these questions – and compiling this sample is as simple as hitting Special:Random a bunch of times to record what comes up. Random pages tests by various editors can be found in Category:Random pages tests, although the category is not comprehensive. The concept of ...
The Postmodernism Generator is a computer program that automatically produces "close imitations" of postmodernist writing. It was written in 1996 by Andrew C. Bulhak of Monash University using the Dada Engine, a system for generating random text from recursive grammars. [1] A free version is also hosted online.
Supports playing against a friend or a random opponent. Wikipedia Speedrun – Game with the goal to navigate from a starting Wikipedia article to another one, in the least amount of clicks and time Wikipedia Speedruns – Wikipedia Speedruns enable you to select starting and ending articles in all the languages supported by Wikipedia.
Prompt 1: “A close-up of a robot working at a desk in a densely packed forest” Midjourney: It’s clear to see that Midjourney objectively produced the best image here.
(The term "quote generator" can also be used for software that randomly selects real quotations.) Further to its esoteric interest, a discussion of parody generation as a useful technique for measuring the success of grammatical inferencing systems is included, along with suggestions for its practical application in areas of language modeling ...
As an alternative, negative prompts allow a user to indicate, in a separate prompt, which terms should not appear in the resulting image. [49] Techniques such as framing the normal prompt into a sequence-to-sequence language modeling problem can be used to automatically generate an output for the negative prompt. [50]
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