Robotics & Machine Learning Daily News2024,Issue(Jun.14) :124-126.

Patent Issued for Content generation using target content derived modeling and unsupervised language modeling (USPTO 11995409)

使用目标内容导出建模和无监督语言建模生成内容的专利(USPTO 11995409)

Robotics & Machine Learning Daily News2024,Issue(Jun.14) :124-126.

Patent Issued for Content generation using target content derived modeling and unsupervised language modeling (USPTO 11995409)

使用目标内容导出建模和无监督语言建模生成内容的专利(USPTO 11995409)

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摘要

从发明人提供的背景信息中,新闻记者获得了以下引文:“技术领域”本申请一般涉及用于内容归纳的AI辅助技术。“相关技术的简要描述”在现有技术中已知提供自动检测语法、拼写、标点符号、WOR D选择的网络可访问(例如基于网络的)ED ITing应用,用户在在线文本编辑器中编写文本时出现的书写错误和风格错误。这种类型的商业解决方案使用基于浏览器的E xtension来工作,该E xtension在用户输入文本时识别并使用户能够纠正书写错误,例如在Google®Gmail、Facebook®Twitter®等网页或表单中输入文本。虽然这些技术和技术提供了优点,但它们存在各种缺陷。

Abstract

From the background information supplied by the inventors, news correspondents obtained the following quote: “Technical Field “This application relates generally to AI-assisted techniques for content genera tion. “Brief Description of the Related Art “It is known in the prior art to provide network-accessible (e.g., web-based) ed iting applications that automatically detect grammar, spelling, punctuation, wor d choice, and style errors in writing text being composed by a user in an online text editor. One commercial solution of this type works using a browserbased e xtension that identifies and enables a user to correct writing errors as the use r enters text, e.g., on Google®Gmail, Facebook® Twitter® etc., in a web page or form. While these techniques and technologies provide advantages, they suffer from various deficiencies.

Key words

Artificial Intelligence/Business/Emerging Technologies/INK Content Inc./Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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