Robotics & Machine Learning Daily News2024,Issue(Nov.15) :161-163.

Researchers Submit Patent Application, 'Generating Digital Content', for Approva l (USPTO 20240362427)

研究人员提交专利申请“生成数字内容”,以供批准(USPTO 20240362427)

Robotics & Machine Learning Daily News2024,Issue(Nov.15) :161-163.

Researchers Submit Patent Application, 'Generating Digital Content', for Approva l (USPTO 20240362427)

研究人员提交专利申请“生成数字内容”,以供批准(USPTO 20240362427)

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摘要

新闻编辑从发明人提供的背景信息中获得了以下引文:"生成性机器学习模型根据训练数据进行训练,以生成数字内容(例如,数字内容)基于自然语言文本输入的图像。一旦训练完毕,生成式机器学习模型就会收到一个基于tex的输入,例如“太阳在海洋上落下”,该模型基于输入。例如,生成机器学习模型生成一个描述基于自然语言输入的日落在水体上。

Abstract

News editors obtained the following quote from the background information suppli ed by the inventors:“Generative machine learning models are trained on training data to generate digital content (e.g., digitalimages) based on natural langua ge text inputs. Once trained, a generative machine learning model receivesa tex t-based input such as “sun setting over the ocean,” and the model generates digi tal content basedon the input. For instance, the generative machine learning mo del generates a digital image depicting asunset over a body of water based on t he natural language input.”

Key words

Adobe Inc./Business/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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