Training Large Language Model to Analyze Psychological Test Data
AssigneeEqualearning Corp.
InventorShih-Yuan Wang
Life of this patent
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Abstract
A method for a web platform to train a large language model platform (LLM) to respond to user inquiries, which includes obtaining a context-data from a data analysis engine, determining a context based on the context-data, selecting a pre-trained context template for the context, determining a system command for the LLM platform, and transmitting the context-data, the pre-trained context template, and the system command to the LLM platform.
Claims7
A method for a web platform to train a large language model platform (LLM) to respond to user inquiries, the method comprising:
- obtaining a context-data from a data analysis engine, the context-data being motivation factors for the user;
- determining a context based on the context-data;
- selecting a pre-trained context template for the context;
- determining a system command for the LLMs platform;
- and
- transmitting the context-data, the pre-trained context template, and the system command to the LLMs platform.
A computer-readable medium on which is stored a computer program for an web platform to train a large language model platform to respond to an inquiry from a user, the computer program when executed by a computer, causes the web platform the steps for:
- obtaining a context-data from a data analysis engine, the context-data being motivation factors for the user;
- determining a context based on the context-data;
- selecting a pre-trained context template for the context;
- determining a system command for the LLMs platform;
- transmitting the context-data, the pre-trained context template, and the system command to the LLMs platform.
Dependencies are inferred from the claim text.