Managing untraining of inference models with respect to portions of training data

A non-transitory machine-readable medium having instructions stored therein, which when executed by a processor, cause the processor to perform operations for providing computer-implemented services using inference models, the operations comprising:

• identifying that a portion of training data used to train a prototype inference model has an information content that is to be removed from a knowledge base of the prototype inference model, the prototype inference model also having other information content based on other training data of the training data that is to be retained with the knowledge base of the prototype inference model;
• initiating performance of an untraining procedure for the prototype inference model using at least the portion of the training data, a first set of prompts based on the portion of the training data, and a second set of prompts based on the other training data of the training data until performance criteria are met to obtain an updated prototype inference model, the performance criteria being usable to identify when the untraining procedure is complete and the performance criteria defining at least a first level of ability of the updated prototype inference model to utilize the information content to generate desirable responses to the first set of prompts and a second level of ability of the updated prototype inference model to utilize the other information content to generate desirable responses to the second set of prompts;
• in a first instance of the initiating in which the performance criteria are met:
• promoting the updated prototype inference model to a production ready inference model;
• and
• using the production ready inference model to provide the computer-implemented services.

A data processing system, comprising:

• a processor;
• and
• a memory coupled to the processor to store instructions, which when executed by the processor, cause the processor to perform operations for providing computer-implemented services using inference models, the operations comprising:
• identifying that a portion of training data used to train a prototype inference model has an information content that is to be removed from a knowledge base of the prototype inference model, the prototype inference model also having other information content based on other training data of the training data that is to be retained with the knowledge base of the prototype inference model;
• initiating performance of an untraining procedure for the prototype inference model using at least the portion of the training data, a first set of prompts based on the portion of the training data, and a second set of prompts based on the other training data of the training data until performance criteria are met to obtain an updated prototype inference model, the performance criteria being usable to identify when the untraining procedure is complete and the performance criteria defining at least a first level of ability of the updated prototype inference model to utilize the information content to generate desirable responses to the first set of prompts and a second level of ability of the updated prototype inference model to utilize the other information content to generate desirable responses to the second set of prompts;
• in a first instance of the initiating in which the performance criteria are met:
• promoting the updated prototype inference model to a production ready inference model;
• and
• using the production ready inference model to provide the computer-implemented services.