Package com.oracle.bmc.generativeai.model

Class Summary

Class	Description
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
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
CreateDedicatedAiClusterDetails	The data to create a dedicated AI cluster.
CreateDedicatedAiClusterDetails.Builder
CreateEndpointDetails	The data to create an endpoint.
CreateEndpointDetails.Builder
CreateModelDetails	The data to create a custom model.
CreateModelDetails.Builder
Dataset	The dataset used to fine-tune the model.
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
DedicatedAiClusterCapacity	The total capacity for a dedicated AI cluster.
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
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
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
ModelCollection	Results of a model search.
ModelCollection.Builder
ModelMetrics	Model metrics during the creation of a new model.
ModelSummary	Summary of the model.
ModelSummary.Builder
ObjectStorageDataset	The dataset is stored in an OCI Object Storage bucket.
ObjectStorageDataset.Builder
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.
UpdateDedicatedAiClusterDetails	The data to update a dedicated AI cluster.
UpdateDedicatedAiClusterDetails.Builder
UpdateEndpointDetails	The data to update an endpoint.
UpdateEndpointDetails.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
WorkRequestSummary	Summary information about an asynchronous work request.
WorkRequestSummary.Builder
WorkRequestSummaryCollection	A list of work requests.
WorkRequestSummaryCollection.Builder

Enum Summary

Enum	Description
ActionType	Possible types of actions.
Dataset.DatasetType	The type of the data asset.
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.CapacityType	The type of the dedicated AI cluster capacity.
Endpoint.LifecycleState	The current state of the endpoint.
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.
ModelMetrics.ModelMetricsType	The type of the model metrics.
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).
TrainingConfig.TrainingConfigType	The fine-tuning method for training a custom model.
WorkRequestResourceMetadataKey	Possible metadata keys for work request resource metadata.