US 2026/0094023 A1 · MANAGING UNTRAINING OF INFERENCE MODELS BASED ON UNDESIRABLE TRAINING DATA

Abstract

Methods and systems for providing computer-implemented services using inference models are disclosed. To provide the computer-implemented services, an inference model may be untrained with respect to undesirable training data to obtain an updated inference model. If any other portions of the training data have embeddings similar to embeddings of the undesirable training data, a first testing process may be performed to determine whether the updated inference model provides consistent and accurate responses based on the other portions of the training data with the similar embeddings. If the inference model does not provide the consistent and accurate responses, the inference model may be re-trained to increase a likelihood that a re-trained updated inference model provides the consistent and accurate responses. If the re-trained updated inference model provides the consistent and accurate responses, the re-trained updated inference model may be a compliant inference model.

Claims20

Dependent claims

A method for providing computer-implemented services using inference models, the method comprising:

identifying a portion of training data that:
was used to train an inference model of the inference models, and
is undesirable;
performing a similarity analysis on the portion of the training data and other portions of the training data to identify whether any of the other portions of the training data are similar to the portion of the training data;
in a first instance of the performing where the any of the other portions of the training data are similar to the portion of the training data:
performing an untraining of the inference model using the portion of the training data to obtain an updated inference model, and
performing a compliance process for the updated inference model using the any of the other portions of the training data to obtain a compliant inference model that reflects relationships defined by the any of the other portions of the training data;
and
in a second instance of the performing where the any of the other portions of the training data do not have similar embeddings to the portion of the training data:
performing the untraining of the inference model using the portion of the training data to obtain the compliant inference model.

7 more elements

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 a portion of training data that:
was used to train an inference model of the inference models, and is undesirable;
performing a similarity analysis on the portion of the training data and other portions of the training data to identify whether any of the other portions of the training data are similar to the portion of the training data;
in a first instance of the performing where the any of the other portions of the training data are similar to the portion of the training data:
performing an untraining of the inference model using the portion of the training data to obtain an updated inference model, and
performing a compliance process for the updated inference model using the any of the other portions of the training data to obtain a compliant inference model that reflects relationships defined by the any of the other portions of the training data;
and
in a second instance of the performing where the any of the other portions of the training data do not have similar embeddings to the portion of the training data:
performing the untraining of the inference model using the portion of the training data to obtain the compliant inference model.

6 more elements

Dependencies are inferred from the claim text.

Managing untraining of inference models based on undesirable training data

Life of this patent

Managing untraining of inference models based on undesirable training data

Life of this patent

Abstract

Claims20