Multi-language model-based filtering and labeling of datasets
AssigneeCisco Technology, Inc.
InventorAkram Sheriff
Life of this patent
Estimating the term…
Abstract
In various implementations, a device makes a first prediction regarding telemetry data from an entity in a computer network using one or more N-gram models. The device also makes a second prediction regarding the telemetry data using one or more large language models. The device applies a label to the telemetry data based on the first prediction and on the second prediction. The device provides the label to train a predictive maintenance model for the entity in the computer network.
Claims20
A method, comprising:
- making, by a device, a first prediction regarding telemetry data from an entity in a computer network using one or more N-gram models;
- making, by the device, a second prediction regarding the telemetry data using one or more large language models;
- applying, by the device, a label to the telemetry data based on the first prediction and on the second prediction;
- and
- providing, by the device, the label to train a predictive maintenance model for the entity in the computer network.
An apparatus, comprising:
- one or more network interfaces;
- a processor coupled to the one or more network interfaces and configured to execute one or more processes;
- and
- a memory configured to store a process that is executable by the processor, the process when executed configured to:
- make a first prediction regarding telemetry data from an entity in a computer network using one or more N-gram models;
- make a second prediction regarding the telemetry data using one or more large language models;
- apply a label to the telemetry data based on the first prediction and on the second prediction;
- and
- provide the label to train a predictive maintenance model for the entity in the computer network.
A tangible, non-transitory, computer-readable medium storing program instructions that cause a device to execute a process comprising:
- making, by the device, a first prediction regarding telemetry data from an entity in a computer network using one or more N-gram models;
- making, by the device, a second prediction regarding the telemetry data using one or more large language models;
- applying, by the device, a label to the telemetry data based on the first prediction and on the second prediction;
- and
- providing, by the device, the label to train a predictive maintenance model for the entity in the computer network.
Dependencies are inferred from the claim text.