| ActionType | Possible types of actions. | 
| ChangeDedicatedAiClusterCompartmentDetails | The details to move a dedicated AI cluster to another compartment. | 
| ChangeDedicatedAiClusterCompartmentDetails.Builder |  | 
| ChangeEndpointCompartmentDetails | The details to move an endpoint to another compartment. | 
| ChangeEndpointCompartmentDetails.Builder |  | 
| ChangeGenerativeAiPrivateEndpointCompartmentDetails | The details required to change a private endpoint compartment. | 
| ChangeGenerativeAiPrivateEndpointCompartmentDetails.Builder |  | 
| ChangeModelCompartmentDetails | The details to move a custom model to another compartment. | 
| ChangeModelCompartmentDetails.Builder |  | 
| ChatModelMetrics | The chat model metrics of the fine-tuning process. | 
| ChatModelMetrics.Builder |  | 
| ContentModerationConfig | The configuration details, whether to add the content moderation feature to the model. | 
| ContentModerationConfig.Builder |  | 
| ContentModerationConfig.Mode | Enum for the modes of operation for inference protection. | 
| CreateDedicatedAiClusterDetails | The data to create a dedicated AI cluster. | 
| CreateDedicatedAiClusterDetails.Builder |  | 
| CreateEndpointDetails | The data to create an endpoint. | 
| CreateEndpointDetails.Builder |  | 
| CreateGenerativeAiPrivateEndpointDetails | The details required to create a Generative AI private endpoint. | 
| CreateGenerativeAiPrivateEndpointDetails.Builder |  | 
| CreateModelDetails | The data to create a custom model. | 
| CreateModelDetails.Builder |  | 
| Dataset | The dataset used to fine-tune the model. | 
| Dataset.DatasetType | The type of the data asset. | 
| DedicatedAiCluster | Dedicated AI clusters are compute resources that you can use for fine-tuning custom models or for
hosting endpoints for custom models. | 
| DedicatedAiCluster.Builder |  | 
| DedicatedAiCluster.LifecycleState | The current state of the dedicated AI cluster. | 
| DedicatedAiCluster.Type | The dedicated AI cluster type indicating whether this is a fine-tuning/training processor or
hosting/inference processor. | 
| DedicatedAiCluster.UnitShape | The shape of dedicated unit in this AI cluster. | 
| DedicatedAiClusterCapacity | The total capacity for a dedicated AI cluster. | 
| DedicatedAiClusterCapacity.CapacityType | The type of the dedicated AI cluster capacity. | 
| DedicatedAiClusterCollection | Results of a dedicate AI cluster search. | 
| DedicatedAiClusterCollection.Builder |  | 
| DedicatedAiClusterHostingCapacity | The capacity of a hosting type dedicated AI cluster. | 
| DedicatedAiClusterHostingCapacity.Builder |  | 
| DedicatedAiClusterSummary | Summary information about a dedicated AI cluster. | 
| DedicatedAiClusterSummary.Builder |  | 
| Endpoint | To host a custom model for inference, create an endpoint for that model on a dedicated AI cluster
of type HOSTING. | 
| Endpoint.Builder |  | 
| Endpoint.LifecycleState | The current state of the endpoint. | 
| EndpointCollection | Results of an endpoint search. | 
| EndpointCollection.Builder |  | 
| EndpointSummary | Summary information for an endpoint resource. | 
| EndpointSummary.Builder |  | 
| FineTuneDetails | Details about fine-tuning a custom model. | 
| FineTuneDetails.Builder |  | 
| GenerativeAiPrivateEndpoint | Generative AI private endpoint. | 
| GenerativeAiPrivateEndpoint.Builder |  | 
| GenerativeAiPrivateEndpoint.LifecycleState | The current state of the Generative AI Private Endpoint. | 
| GenerativeAiPrivateEndpointCollection |  | 
| GenerativeAiPrivateEndpointCollection.Builder |  | 
| GenerativeAiPrivateEndpointSummary | List of Generative AI private endpoints. | 
| GenerativeAiPrivateEndpointSummary.Builder |  | 
| LoraTrainingConfig | The Lora training method hyperparameters. | 
| LoraTrainingConfig.Builder |  | 
| Model | You can create a custom model by using your dataset to fine-tune an out-of-the-box text
generation base model. | 
| Model.Builder |  | 
| Model.LifecycleState | The lifecycle state of the model. | 
| Model.Type | The model type indicating whether this is a pretrained/base model or a custom/fine-tuned
model. | 
| ModelCapability | Describes what this model can be used for. | 
| ModelCollection | Results of a model search. | 
| ModelCollection.Builder |  | 
| ModelMetrics | Model metrics during the creation of a new model. | 
| ModelMetrics.ModelMetricsType | The type of the model metrics. | 
| ModelSummary | Summary of the model. | 
| ModelSummary.Builder |  | 
| ObjectStorageDataset | The dataset is stored in an OCI Object Storage bucket. | 
| ObjectStorageDataset.Builder |  | 
| OperationStatus | The status of the work request. | 
| OperationType | The resources affected by this work request. | 
| SortOrder | The sort order to use, either ascending (ASC) or descending (DESC). | 
| TextGenerationModelMetrics | The text generation model metrics of the fine-tuning process. | 
| TextGenerationModelMetrics.Builder |  | 
| TFewTrainingConfig | The TFEW training method hyperparameters. | 
| TFewTrainingConfig.Builder |  | 
| TrainingConfig | The fine-tuning method and hyperparameters used for fine-tuning a custom model. | 
| TrainingConfig.TrainingConfigType | The fine-tuning method for training a custom model. | 
| UpdateDedicatedAiClusterDetails | The data to update a dedicated AI cluster. | 
| UpdateDedicatedAiClusterDetails.Builder |  | 
| UpdateEndpointDetails | The data to update an endpoint. | 
| UpdateEndpointDetails.Builder |  | 
| UpdateGenerativeAiPrivateEndpointDetails | The details required to update a Generative AI private endpoint. | 
| UpdateGenerativeAiPrivateEndpointDetails.Builder |  | 
| UpdateModelDetails | The data to update a custom model. | 
| UpdateModelDetails.Builder |  | 
| VanillaTrainingConfig | The Vanilla training method hyperparameters. | 
| VanillaTrainingConfig.Builder |  | 
| WorkRequest | An asynchronous work request. | 
| WorkRequest.Builder |  | 
| WorkRequestError | An error encountered while performing an operation that is tracked by this work request. | 
| WorkRequestError.Builder |  | 
| WorkRequestErrorCollection | A list of work request errors. | 
| WorkRequestErrorCollection.Builder |  | 
| WorkRequestLogEntry | The log message from performing an operation that is tracked by this work request. | 
| WorkRequestLogEntry.Builder |  | 
| WorkRequestLogEntryCollection | A list of work request logs. | 
| WorkRequestLogEntryCollection.Builder |  | 
| WorkRequestResource | The resource created or operated on by a work request. | 
| WorkRequestResource.Builder |  | 
| WorkRequestResourceMetadataKey | Possible metadata keys for work request resource metadata. | 
| WorkRequestSummary | Summary information about an asynchronous work request. | 
| WorkRequestSummary.Builder |  | 
| WorkRequestSummaryCollection | A list of work requests. | 
| WorkRequestSummaryCollection.Builder |  |