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Generative AI features have been integrated into a variety of existing commercially available products such as Microsoft Office (Microsoft Copilot), [85] Google Photos, [86] and the Adobe Suite (Adobe Firefly). [87] Many generative AI models are also available as open-source software, including Stable Diffusion and the LLaMA [88] language model.
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.
A paper generator is computer software that composes scholarly papers in the style of those that appear in academic journals or conference proceedings. Typically, the generator uses technical jargon from the field to compose sentences that are grammatically correct and seem erudite but are actually nonsensical. [ 1 ]
Friendly AI – hypothetical AI that is designed not to harm humans and to prevent unfriendly AI from being developed; Machine ethics; Regulation of AI; AI box; Self-replicating machines – smart computers and robots would be able to make more of themselves, in a geometric progression or via mass production. Or smart programs may be uploaded ...
The informative abstract, also known as the complete abstract, is a compendious summary of a paper's substance and its background, purpose, methodology, results, and conclusion. [ 23 ] [ 24 ] Usually between 100 and 200 words, the informative abstract summarizes the paper's structure, its major topics and key points. [ 23 ]
The five-paragraph essay is a form of essay having five paragraphs: one introductory paragraph, three body paragraphs with support and development, and; one concluding paragraph. The introduction serves to inform the reader of the basic premises, and then to state the author's thesis, or central idea.
In an essay, article, or book, an introduction (also known as a prolegomenon) is a beginning section which states the purpose and goals of the following writing. This is generally followed by the body and conclusion.
The idea of encoder-decoder sequence transduction had been developed in the early 2010s (see previous papers [22] [23]). The papers most commonly cited as the originators that produced seq2seq are two concurrently published papers from 2014. [22] [23] A 380M-parameter model for machine translation uses two long short-term memories (LSTM). [23]