System and method for generation of an agent

A system for generating an agent, the system comprising:

• a server, comprising a dataset with a plurality of data points;
• and
• a processor, in communication with the server, wherein the processor is configured to:
• generate a plurality of contextual relationships that exist between data points in the dataset by applying a large language model (LLM) to the dataset;
• determine at least one insight based on the dataset with the generated plurality of contextual relationships, by applying the LLM on the dataset with the generated plurality of contextual relationships;
• determine at least one query for each determined at least one insight, by applying the LLM on the dataset with the generated plurality of contextual relationships and determined at least one insight;
• receive a question for the dataset;
• if the received question is associated with the determined at least one insight, apply the LLM on the determined at least one query for the associated determined at least one insight;
• generate the agent by the LLM based on the determined at least one query;
• and
• update the LLM based on performance of the generated agent.

A computer-readable medium comprising instructions which, when executed by a processor, cause the processor to:

• generate a plurality of contextual relationships that exist between data points in a dataset by applying a large language model (LLM) to the dataset;
• determine at least one insight based on the dataset with the generated plurality of contextual relationships, by applying the LLM on the dataset with the generated plurality of contextual relationships;
• determine at least one query for each determined at least one insight, by applying the LLM on the dataset with the generated plurality of contextual relationships and determined at least one insight;
• receive a question for the dataset;
• if the received question is associated with the determined at least one insight, apply the LLM on the determined at least one query for the associated determined at least one insight;
• generate the agent by the LLM based on the determined at least one query;
• and
• update the LLM based on performance of the generated agent.