首页|'Content generation using target content derived modeling and unsupervised langu age modeling' in Patent Application Approval Process (USPTO 20240311573)
'Content generation using target content derived modeling and unsupervised langu age modeling' in Patent Application Approval Process (USPTO 20240311573)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A patent application by the inventor D e Ridder, Alexander (Houston, TX, US), filed on May 28, 2024, was made available online on September 19, 2024, according to news reporting originating from Wash ington, D.C., by NewsRx correspondents. This patent application has not been assigned to a company or institution. The following quote was obtained by the news editors from the background informa tion supplied by the inventors: "This application relates generally to AI-assist ed techniques for content generation. "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.
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