U.S. Bancorp, National Association

Samuel Atkins

Ali Fathi

Giacomo Domeniconi

The disclosed embodiments describe a method, system, and computer-readable medium for reducing hallucinations in a large language model in the field of natural language processing involving identifying a plurality of input-output pairs, each input-output pair assigned to a probability and comprising an example input text string and a corresponding output text string, sampling a set of input-output pairs from the plurality of input-output pairs based on the probabilities assigned to the plurality of input-output pairs, generating a list of aggregated input-output pairs from the set of input-output pairs, generating one or more queries by iteratively replacing identified variables within each aggregated input-output pair with a different value from a database, and training, using the one or more queries, a first large language model to convert input queries to machine-readable prompts configured for input into a second large language model.

Growing community of inventors

Vancouver, Canada

Samuel Atkins