Classifying retrieved context data for a relativistic response

A non-transitory machine-readable medium having instructions stored therein, which when executed by a processor, cause the processor to perform operations for managing operation of a system, the operations comprising:

• based on a determination that a relativistic response for a prompt submitted for processing by a generative trained machine learning model is to be provided:
• performing a retrieval process for the prompt to obtain a plurality of portions of context data from at least one designated data source;
• classifying at least the plurality of portions of context data to obtain context data groupings and corresponding meaning descriptions for the context data groupings;
• obtaining ingest data sets using the prompt and the context data groupings;
• obtaining at least one non-relativistic response using the ingest data sets and the generative trained machine learning model;
• obtaining the relativistic response using the at least one non-relativistic response and the corresponding meaning descriptions;
• and
• providing computer-implemented services using the relativistic response,
• wherein prior to performing the retrieval process, the operations further comprise:
• analyzing at least the prompt for indication of desirability of the relativistic response;
• and
• in a first instance of the analyzing where the indication is that the relativistic response is desired:
• making the determination.

A data processing system, comprising:

• a processor;
• and
• a memory coupled to the processor to store instructions, which when executed by the processor, cause operations for managing operation of a system to be performed, the operations comprising:
• based on a determination that a relativistic response for a prompt submitted for processing by a generative trained machine learning model is to be provided:
• performing a retrieval process for the prompt to obtain a plurality of portions of context data from at least one designated data source;
• classifying at least the plurality of portions of context data to obtain context data groupings and corresponding meaning descriptions for the context data groupings;
• obtaining ingest data sets using the prompt and the context data groupings;
• obtaining at least one non-relativistic response using the ingest data sets and the generative trained machine learning model;
• obtaining the relativistic response using the at least one non-relativistic response and the corresponding meaning descriptions;
• and
• providing computer-implemented services using the relativistic response,
• wherein prior to performing the retrieval process, the operations further comprise:
• analyzing at least the prompt for indication of desirability of the relativistic response;
• and
• in a first instance of the analyzing where the indication is that the relativistic response is desired:
• making the determination.