This invention describes a method for creating a personalized digital version of a human user, called a digital twin. It works by taking an existing artificial intelligence model, specifically a large language model (LLM), and then training it further with data unique to that specific person, such as their past interactions and preferences. The provided claims focus exclusively on this process of generating the personalized digital twin.
Why it matters: The claims cover generating a personalized LLM digital twin. While the underlying technology was available in 2024, continuous advancements in efficient fine-tuning techniques and robust data processing tools have made the creation and deployment of such personalized AI models more practical and scalable.
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