Adaptive language model-based solution for interactive security and safety with data privacy

A method for providing interactive security and safety with data privacy, comprising:

• providing an adaptive language model in which an end user accesses a user interface and provides inputs of natural language text, voice, or images;
• processing said inputs received from the end user with a preprocessing block;
• passing said inputs and prompts to a large language model (LLM) to instruct a software program or system which is meant to be invoked by a particular syntax, wherein said input to the LLM provides a list of functions/SQL queries/syntax along with text in the form of said prompts to support the LLM model to adapt to proprietary information and syntax;
• fine tuning the LLM with information provided to generate as an output components of the functions/SQL queries/syntax which are relevant to invoke a functionality that a function is responsible for in an intended application;
• receiving responses from the LLM and processing said responses with a JavaScript Object Notation (JSON) generator;
• performing syntax optimization by identifying potential issues in representations of function and attribute names, as well as any missing values where a potential resource deadlock arises while executing functionality in later stages;
• once deficiencies are identified and removed in a syntax of the functions generated by the LLM, determining feasibility of execution with role based data and access control to confirm that any resources involved in execution of the function are legitimately entitled to be accessed by the end user who is requesting access through the user interface;
• wherein when the end user is not authorized, showing a message at the user interface, else forwarding the syntax of the functions for function execution;
• using information received to trigger a respective function and its dependencies;
• when executing said function, showing a final output on the user interface, wherein the user only submits natural language inputs and receives functionality or information in return based upon authorization of a role of the user.