US20250006182
2025-01-02
Physics
G10L15/07
The patent application outlines a system for creating and managing personalized artificial entities. These entities are generated using data from a source individual, such as text, audio, photos, or videos. By leveraging advanced natural language processing models like Generative Pre-trained Transformers (GPT), the system allows these entities to replicate the unique cognitive traits and preferences of their associated individuals.
Current artificial intelligence systems often use generic databases and conversation records to interact with users. However, the described technology advances the field by enabling the creation of artificial entities that are tailored to individuals. This personalization is achieved through deep-learning algorithms that process personal data, resulting in entities capable of authentic interactions and enhanced engagement.
The system involves several key processes: receiving information about a source individual, generating an artificial entity based on this data, capturing interaction data with the entity, and determining appropriate responses. These capabilities open new avenues for digital communication, productivity, entertainment, and social engagement by providing more personalized experiences.
The application includes diagrams and flowcharts illustrating various embodiments and use cases of the technology. These visual aids depict systems for generating artificial entities, examples of computing devices involved, input data processing, and flowcharts detailing operational processes. Multiple use cases demonstrate practical applications of the technology in different contexts.
The disclosed embodiments may involve a non-transitory computer-readable medium containing instructions executed by at least one processor. This includes hardware like CPUs or GPUs and memory systems such as RAM or flash memory. The system is designed to be flexible, allowing integration with various computing architectures to perform logic operations necessary for executing the described methods.