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==Artificial intelligence== In [[artificial intelligence]], a [[probability distribution|model]] describes the probability that something will occur. Parameters in a model are the weight of the various probabilities. Tiernan Ray, in an article on GPT-3, described parameters this way: {{Blockquote |text= A parameter is a calculation in a neural network that applies a great or lesser weighting to some aspect of the data, to give that aspect greater or lesser prominence in the overall calculation of the data. It is these weights that give shape to the data, and give the neural network a learned perspective on the data.<ref>{{cite web | url=https://www.zdnet.com/article/openais-gigantic-gpt-3-hints-at-the-limits-of-language-models-for-ai/ | title=OpenAI's gigantic GPT-3 hints at the limits of language models for AI | website=[[ZDNet]] }}</ref> }}
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