Namespace Oci.GenerativeaiService.Models

Classes

ChangeDedicatedAiClusterCompartmentDetails

The details to move a dedicated AI cluster to another compartment.

ChangeEndpointCompartmentDetails

The details to move an endpoint to another compartment.

ChangeModelCompartmentDetails

The details to move a custom model to another compartment.

ChatModelMetrics

The chat model metrics of the fine-tuning process.

ContentModerationConfig

The configuration details, whether to add the content moderation feature to the model. Content moderation removes toxic and biased content from responses.

CreateDedicatedAiClusterDetails

The data to create a dedicated AI cluster.

Dedicated AI clusters are compute resources that you can use for fine-tuning custom models or for hosting endpoints for custom models. The clusters are dedicated to your models and not shared with users in other tenancies.
To use any of the API operations, you must be authorized in an IAM policy. If you're not authorized, talk to an administrator who gives OCI resource access to users. See Getting Started with Policies and Getting Access to Generative AI Resources.

DedicatedAiClusterCapacity

The total capacity for a dedicated AI cluster.

DedicatedAiClusterCapacityModelConverter

DedicatedAiClusterCollection

Results of a dedicate AI cluster search. Contains DedicatedAiClusterSummary items and other information such as metadata.

DedicatedAiClusterHostingCapacity

The capacity of a hosting type dedicated AI cluster.

DedicatedAiClusterSummary

Summary information about a dedicated AI cluster.

Endpoint

To host a custom model for inference, create an endpoint for that model on a dedicated AI cluster of type HOSTING.
To use any of the API operations, you must be authorized in an IAM policy. If you're not authorized, talk to an administrator who gives OCI resource access to users. See Getting Started with Policies and Getting Access to Generative AI Resources.

EndpointCollection

Results of an endpoint search. Contains EndpointSummary items and other information such as metadata.

EndpointSummary

Summary information for an endpoint resource.

FineTuneDetails

Details about fine-tuning a custom model.

LoraTrainingConfig

The Lora training method hyperparameters.

Model

You can create a custom model by using your dataset to fine-tune an out-of-the-box text generation base model. Have your dataset ready before you create a custom model. See Training Data Requirements.
To use any of the API operations, you must be authorized in an IAM policy. If you're not authorized, talk to an administrator who gives OCI resource access to users. See Getting Started with Policies and Getting Access to Generative AI Resources.

ModelCollection

Results of a model search. Contains ModelSummary items and other information such as metadata.

ModelMetrics

Model metrics during the creation of a new model.

ModelMetricsModelConverter

ModelSummary

Summary of the model.

ObjectStorageDataset

The dataset is stored in an OCI Object Storage bucket.

TFewTrainingConfig

The TFEW training method hyperparameters.

TextGenerationModelMetrics

The text generation model metrics of the fine-tuning process.

TrainingConfig

The fine-tuning method and hyperparameters used for fine-tuning a custom model.

TrainingConfigModelConverter

UpdateDedicatedAiClusterDetails

The data to update a dedicated AI cluster.

UpdateEndpointDetails

The data to update an endpoint.

UpdateModelDetails

The data to update a custom model.

VanillaTrainingConfig

The Vanilla training method hyperparameters.

WorkRequest

An asynchronous work request. When you start a long-running operation, the service creates a work request. Work requests help you monitor long-running operations.
A work request is an activity log that lets you track each step in the operation's progress. Each work request has an OCID that lets you interact with it programmatically and use it for automation.

Namespace Oci.GenerativeaiService.Models

Classes

Enums