Method and system for code generation by large language models

A computing apparatus for generating executable code, the computing apparatus comprising:

• a processor;
• a memory;
• a display;
• and
• a communication interface coupled to each of the processor, the memory, and the display,
• wherein the processor is configured to:
• receive, via the communication interface and from an external source, first information that relates to a summarization of a first data table, wherein the external source has access to proprietary data that is included in the first data table, and wherein the summarization includes a textual description of each of a plurality of sections of the first data table;
• define a first set of rules for facilitating a generation of executable code by a language model, wherein the first set of rules include at least one rule that pertains to a programming language of the executable code, a library to be used in conjunction with the executable code, and information relating to a format of an output that reflects a user intent;
• receive, via the communication interface, an inquiry from a user;
• revise the inquiry received based on the at least one rule included in the first set of rules;
• input each of the first information, the first set of rules, and the revised inquiry into the language model, wherein the inputted first information omits the proprietary data included in the first data table;
• receive, in response to the input via the communication interface, a first set of executable code that is generated by the language model;
• and
• execute the first set of executable code in order to generate the output that does not include the proprietary data included in the first data table but is rooted from the proprietary data included in the first data table.

A non-transitory computer readable storage medium storing instructions for generating a first set of executable code, the storage medium comprising a second set of executable code which, when executed by a processor, causes the processor to:

• receive, from an external source, first information that relates to a summarization of a first data table, wherein the external source has access to proprietary data that is included in the first data table, and wherein the summarization includes a textual description of each of a plurality of sections of the first data table;
• define a first set of rules for facilitating a generation of executable code by a language model, wherein the first set of rules include at least one rule that pertains to a programming language of the executable code, a library to be used in conjunction with the executable code, and information relating to a format of an output that reflects a user intent;
• receive an inquiry from a user;
• revise the inquiry received based on the at least one rule included in the first set of rules;
• input each of the first information, the first set of rules, and the revised inquiry into the language model, wherein the inputted first information omits the proprietary data included in the first data table;
• receive, in response to the input, the first set of executable code that is generated by the language model;
• and
• execute the first set of executable code in order to generate the output that does not include the proprietary data included in the first data table but is rooted from the proprietary data included in the first data table.