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What is GPT-2

Chapter 2
Describing Nature Through Visual Data
Modern neural network and a language model that generates coherent paragraphs of text one word at a time. The objective of the model is to create a list of strings where the strings are each sorted by ascending priority. The function then selects a random string from this list and updates the priority of each element. Once the strings are sorted, the function can then return a string with a new priority value. And so on.
Published in Chapter:
Random Processes and Visual Perception: Stochastic Art
Jean Constant (Hermay.org, USA)
Copyright: © 2021 |Pages: 15
DOI: 10.4018/978-1-7998-5753-2.ch002
Abstract
The aim of this chapter is to explore a classic stochastic problem using the tools of the graphics environment. Stochastic processes are associated with the concepts of uncertainty or chance. Major areas of research in mathematical and applied sciences, statistics, finance, and artificial intelligence/machine learning benefit from the knowledge gained studying this process. Visual Art also depends on elements of uncertainty and chance. To explore the commonality of concern between Science and Art and better understand stochastic processes, the author organizes his research according to the Knowledge Visualization framework, examines a graph theory reference model called the “shortest route problem,” and, adding additional elements specific to the art-making process, shares his results to highlight the relevance of interdisciplinary studies in the fields of randomness and visual perception.
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