Uses of Package
com.oracle.bmc.generativeai.model

Packages that use com.oracle.bmc.generativeai.model

Package	Description
com.oracle.bmc.generativeai
com.oracle.bmc.generativeai.model
com.oracle.bmc.generativeai.requests
com.oracle.bmc.generativeai.responses

Classes in com.oracle.bmc.generativeai.model used by com.oracle.bmc.generativeai

Class and Description
DedicatedAiCluster.LifecycleState The current state of the dedicated AI cluster.
DedicatedAiClusterSummary Summary information about a dedicated AI cluster.
Endpoint.LifecycleState The current state of the endpoint.
EndpointSummary Summary information for an endpoint resource.
Model.LifecycleState The lifecycle state of the model.
ModelSummary Summary of the model.
WorkRequestError An error encountered while performing an operation that is tracked by this work request.
WorkRequestLogEntry The log message from performing an operation that is tracked by this work request.
WorkRequestSummary Summary information about an asynchronous work request.

Classes in com.oracle.bmc.generativeai.model used by com.oracle.bmc.generativeai.model

Class and Description
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
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.
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
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
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

Classes in com.oracle.bmc.generativeai.model used by com.oracle.bmc.generativeai.requests

Class and Description
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.
CreateDedicatedAiClusterDetails The data to create a dedicated AI cluster.
CreateEndpointDetails The data to create an endpoint.
CreateModelDetails The data to create a custom model.
DedicatedAiCluster.LifecycleState The current state of the dedicated AI cluster.
Endpoint.LifecycleState The current state of the endpoint.
Model.LifecycleState The lifecycle state of the model.
ModelCapability Describes what this model can be used for.
OperationStatus The status of the work request.
SortOrder The sort order to use, either ascending (ASC) or descending (DESC).
UpdateDedicatedAiClusterDetails The data to update a dedicated AI cluster.
UpdateEndpointDetails The data to update an endpoint.
UpdateModelDetails The data to update a custom model.

Classes in com.oracle.bmc.generativeai.model used by com.oracle.bmc.generativeai.responses

Class and Description
DedicatedAiCluster Dedicated AI clusters are compute resources that you can use for fine-tuning custom models or for hosting endpoints for custom models.
DedicatedAiClusterCollection Results of a dedicate AI cluster search.
Endpoint To host a custom model for inference, create an endpoint for that model on a dedicated AI cluster of type HOSTING.
EndpointCollection Results of an endpoint search.
Model You can create a custom model by using your dataset to fine-tune an out-of-the-box text generation base model.
ModelCollection Results of a model search.
WorkRequest An asynchronous work request.
WorkRequestErrorCollection A list of work request errors.
WorkRequestLogEntryCollection A list of work request logs.
WorkRequestSummaryCollection A list of work requests.