Systems for controllable summarization of content

A method comprising:

• receiving a content corpus to be summarized;
• generating a first summarized content by applying a large language model (LLM) or an appropriate processing model to the content corpus to create an initial summary at a first predefined abstraction level;
• recursively generating subsequent summarized content by applying the large language model or the appropriate processing model to previously summarized content at progressively greater abstraction levels, wherein each subsequent summary is derived from last summarized content without reprocessing the content corpus;
• and
• storing each of the subsequent summarized content at a plurality of abstraction levels, thereby facilitating efficient retrieval and use based on user-defined summarization needs.

A non-transitory computer-readable storage medium storing a set of instructions that, when executed by one or more computer processors, causes the one or more computer processors to perform operations, the operations comprising:

• receiving a content corpus to be summarized;
• generating a first summarized content by applying a large language model (LLM) or an appropriate processing model to the content corpus to create an initial summary at a first predefined abstraction level;
• recursively generating subsequent summarized content by applying the large language model or the appropriate processing model to previously summarized content at progressively greater abstraction levels, wherein each subsequent summary is derived from last summarized content without reprocessing the content corpus;
• and
• storing each of the subsequent summarized content at a plurality of abstraction levels, thereby facilitating efficient retrieval and use based on user-defined summarization needs.