GRAMMATICAL ERROR DETECTION UTILIZING LARGE LANGUAGE MODELS

Abstract: implementations described herein relate to utilizing a large language model (llm) to determine whether a natural language (nl) based input is grammatically incorrect and notifying a user based on the determination. a structured llm query may be generated, based on the nl based input, that includes an llm prompt to cause the llm to generate an llm response including an indication of whether the nl based input is grammatically incorrect. an llm response may be generated, based on causing the structured llm query to be processed using the llm, that includes the indication of whether the nl based input is grammatically incorrect. responsive to determining that the nl based input is grammatically incorrect based on the llm response, a feedback output may be caused to be rendered at the client device, or an additional client device, that indicates the nl based input is grammatically incorrect.

Inventor(s): Dongeek Shin

CPC Classification: G06F40/253 (ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models ))

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