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US 2026/0037752 A1Published application
Personal Motivation Analysis and Matching System Based on Large Language Models and Motivation DNA System
AssigneeEqualearning Corp.
InventorShih-Yuan Wang
Life of this patent
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Abstract
A method for a web platform trains a large language model platform (LLM) to select a special LLM and also generates a user profile based on a simple user input through this selected special LLM.
Claims8
A method for capturing a user input and generating a motivational quotient report comprising:
- receiving the user input;
- parsing the user input to identify key motivational factors;
- selecting a special context-based large language model (LLM) engine based on the key motivational factors;
- the special context-based LLM engine assigning intensity levels to the key motivational factors;
- and
- the special context-based LLM engine generating a user profile with the key motivational factors,
- wherein the special context-based LLM engine is derived from a generic LLM engine that is trained with special models with motivational factors.
4 more elements
A computer-readable medium on which is stored a computer program for an web platform to use a LLM engine to generate a user profile based on a simple user input, the computer program when executed by a computer, causes the web platform to perform:
- receiving the user input;
- parsing the user input to identify key motivational factors;
- selecting a special context-based large language model (LLM) engine based on the key motivational factors;
- the special context-based LLM engine assigning intensity levels to the key motivational factors;
- and
- the special context-based LLM engine generating a user profile with the key motivational factors,
- wherein the special context-based LLM engine is derived from a generic LLM engine that is trained with special models with motivational factors.
4 more elements
Dependencies are inferred from the claim text.