Automatic generation of content for query matching in foundation model-based content providing systems

Abstract

The disclosed system optimizes, via the use of foundation models such as large language models (LLMs), the manner in which a search engine associates instances of content (e.g., webpages) with a query. The system employs a first foundation model to summarize an instance of content. The system the employs a second foundation model to compare the summary of the instance of content generated by the first foundation model to target characteristics defined by a content creator. If the comparison confirms that the summary of the instance of aligns with the target characteristics, the system provides the summary to a search engine for query matching purposes. If the comparison denies that the summary of the instance of aligns with the target characteristics, the system employs the first foundation model to re-summarize the instance of content using feedback received from the second foundation model.