Training machine learning models for automated composition generation

The claims specifically describe training a machine learning model to generate automated compositions. This involves building a user profile from their input and tracking their engagement with digital content. The system can also use video of the user's physical behavior to predict their interests, which then guides the composition generation.

Why it matters: Filed in 2024, the rapid evolution of generative AI and multimodal models since then makes the composition generation aspect significantly more powerful. The claims' focus on training models for personalized content is now even more valuable.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedMachine learning system, data pipelines, computer vision

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