Systems and methods for interpreting language using ai models
AssigneeUniversity of South Florida
InventorsJohn Licato, Zaid Khalil Marji
Life of this patent
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Abstract
Systems and methods for artificial intelligence (AI)-based systems are described herein. In an aspect, the present disclosure relates to a computer implemented method that includes prompting a first trained large language model (LLM) to generate a plurality of arguments; determine a ranking of the plurality of arguments using a second trained LLM; and training a third LLM based on the ranking of the plurality of arguments and the plurality of arguments.
Claims20
A computer-implemented method comprising:
- prompting a first trained large language model (LLM) to generate a plurality of arguments;
- determining a ranking of the plurality of arguments using a second trained LLM;
- and
- training a third LLM based on the ranking of the plurality of arguments and the plurality of arguments.
A computer-implemented method comprising:
- prompting a first trained large language model (LLM) using a predefined prompting language to produce a plurality of responses;
- filtering the plurality of responses to create a plurality of filtered responses;
- and
- training a second LLM based on filtered responses.
A system for training a generative artificial intelligence (AI), the system comprising:
- a computing device comprising at least one processor and at least one memory, the at least one memory having computer-executable instructions stored thereon that, when executed by the at least one processor, cause the at least one processor to:
- receive a prompt file;
- generate a pair of responses using a trained generative AI model and the prompt file;
- output a comparison of the pair of responses based on the prompt file;
- train the trained generative AI model using the comparison and the pair of responses;
- and
- store the trained generative AI model.
A computer-implemented method for providing artificial intelligence (AI)-based responses comprising:
- receiving a first input file;
- inputting the first input file to an iteratively trained generative AI model;
- and
- outputting, using the iteratively trained generative AI model, a response.
Dependencies are inferred from the claim text.