oci.generative_ai.models.ChangeDedicatedAiClusterCompartmentDetails |
The details to move a dedicated AI cluster to another compartment. |
oci.generative_ai.models.ChangeEndpointCompartmentDetails |
The details to move an endpoint to another compartment. |
oci.generative_ai.models.ChangeModelCompartmentDetails |
The details to move a custom model to another compartment. |
oci.generative_ai.models.ChatModelMetrics |
The chat model metrics of the fine-tuning process. |
oci.generative_ai.models.ContentModerationConfig |
The configuration details, whether to add the content moderation feature to the model. |
oci.generative_ai.models.CreateDedicatedAiClusterDetails |
The data to create a dedicated AI cluster. |
oci.generative_ai.models.CreateEndpointDetails |
The data to create an endpoint. |
oci.generative_ai.models.CreateModelDetails |
The data to create a custom model. |
oci.generative_ai.models.Dataset |
The dataset used to fine-tune the model. |
oci.generative_ai.models.DedicatedAiCluster |
Dedicated AI clusters are compute resources that you can use for fine-tuning custom models or for hosting endpoints for custom models. |
oci.generative_ai.models.DedicatedAiClusterCapacity |
The total capacity for a dedicated AI cluster. |
oci.generative_ai.models.DedicatedAiClusterCollection |
Results of a dedicate AI cluster search. |
oci.generative_ai.models.DedicatedAiClusterHostingCapacity |
The capacity of a hosting type dedicated AI cluster. |
oci.generative_ai.models.DedicatedAiClusterSummary |
Summary information about a dedicated AI cluster. |
oci.generative_ai.models.Endpoint |
To host a custom model for inference, create an endpoint for that model on a dedicated AI cluster of type HOSTING. |
oci.generative_ai.models.EndpointCollection |
Results of an endpoint search. |
oci.generative_ai.models.EndpointSummary |
Summary information for an endpoint resource. |
oci.generative_ai.models.FineTuneDetails |
Details about fine-tuning a custom model. |
oci.generative_ai.models.LoraTrainingConfig |
The Lora training method hyperparameters. |
oci.generative_ai.models.Model |
You can create a custom model by using your dataset to fine-tune an out-of-the-box text generation base model. |
oci.generative_ai.models.ModelCollection |
Results of a model search. |
oci.generative_ai.models.ModelMetrics |
Model metrics during the creation of a new model. |
oci.generative_ai.models.ModelSummary |
Summary of the model. |
oci.generative_ai.models.ObjectStorageDataset |
The dataset is stored in an OCI Object Storage bucket. |
oci.generative_ai.models.TFewTrainingConfig |
The TFEW training method hyperparameters. |
oci.generative_ai.models.TextGenerationModelMetrics |
The text generation model metrics of the fine-tuning process. |
oci.generative_ai.models.TrainingConfig |
The fine-tuning method and hyperparameters used for fine-tuning a custom model. |
oci.generative_ai.models.UpdateDedicatedAiClusterDetails |
The data to update a dedicated AI cluster. |
oci.generative_ai.models.UpdateEndpointDetails |
The data to update an endpoint. |
oci.generative_ai.models.UpdateModelDetails |
The data to update a custom model. |
oci.generative_ai.models.VanillaTrainingConfig |
The Vanilla training method hyperparameters. |
oci.generative_ai.models.WorkRequest |
An asynchronous work request. |
oci.generative_ai.models.WorkRequestError |
An error encountered while performing an operation that is tracked by this work request. |
oci.generative_ai.models.WorkRequestErrorCollection |
A list of work request errors. |
oci.generative_ai.models.WorkRequestLogEntry |
The log message from performing an operation that is tracked by this work request. |
oci.generative_ai.models.WorkRequestLogEntryCollection |
A list of work request logs. |
oci.generative_ai.models.WorkRequestResource |
The resource created or operated on by a work request. |
oci.generative_ai.models.WorkRequestSummary |
Summary information about an asynchronous work request. |
oci.generative_ai.models.WorkRequestSummaryCollection |
A list of work requests. |