SUPPLEMENTATION OF LARGE LANGUAGE MODEL KNOWLEDGE VIA PROMPT MODIFICATION

    公开(公告)号:US20250094707A1

    公开(公告)日:2025-03-20

    申请号:US18369065

    申请日:2023-09-15

    Applicant: SAP SE

    Abstract: The present disclosure provides techniques and solutions for automatically and dynamically supplementing user prompts to large language models with information to be used by the large language model in formulating a response. In particular, entities are identified in the original prompt. A semantic framework is searched for information about such entities, and such information is added to the original user prompt to provide a modified user prompt. In a particular example, the identified entities comprise triples, and verbalized triples are added to provide the modified user prompt. The modified prompt may be hidden from the user, so that a response of the large language model appears to be in response to the original prompt.

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