Generative Ai

oci.generative_ai.GenerativeAiClient	OCI Generative AI is a fully managed service that provides a set of state-of-the-art, customizable large language models (LLMs) that cover a wide range of use cases for text generation, summarization, and text embeddings.
oci.generative_ai.GenerativeAiClientCompositeOperations	This class provides a wrapper around GenerativeAiClient and offers convenience methods for operations that would otherwise need to be chained together.

Models

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.ChangeGenerativeAiPrivateEndpointCompartmentDetails	The details required to change a private endpoint 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.CreateGenerativeAiPrivateEndpointDetails	The details required to create a Generative AI private 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.GenerativeAiPrivateEndpoint	Generative AI private endpoint.
oci.generative_ai.models.GenerativeAiPrivateEndpointCollection	Collection of GenerativeAiPrivateEndpointSummary
oci.generative_ai.models.GenerativeAiPrivateEndpointSummary	List of Generative AI private endpoints.
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.UpdateGenerativeAiPrivateEndpointDetails	The details required to update a Generative AI private 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.