Automatic system for new event identification using large language models

A computer-implemented method for performing automated identification of an event, the method comprising:

• identifying a subset of a file, wherein the subset of the first file comprises an unknown event;
• comparing the subset of the file to a set of rules for identifying at least one known event, wherein the set of rules specifies a first pattern of objects that is indicative of at least one known event;
• in response to determining the first pattern of objects does not identify the unknown event, providing the subset of the first file to an AI model;
• receiving a second pattern of objects from the AI model, wherein the second pattern of objects is indicative of the unknown event;
• generating a new rule based on the second pattern of objects, wherein the new rule includes the second pattern of objects and an identifier of the new rule;
• and
• generating an updated set of rules by adding the new rule to the set of rules.

A system comprising:

• at least one processor;
• and
• memory coupled to the processor, the memory consisting of computer executable instructions that, when executed by the system, perform operations comprising:
• identifying a subset of a text file, wherein the subset of the text file comprises an unknown event;
• analyzing a subset of a text file to identify an unknown event using a language model;
• determining key lines in the subset of the text file using the language model;
• determining a new rule that identifies the unknown event using the language model;
• and
• adding the new rule to a set of rules to generate an updated set of rules.