Smaws_Client_SageMaker.CreateAIRecommendationJobCreates a recommendation job that generates intelligent optimization recommendations for generative AI inference deployments. The job analyzes your model, workload configuration, and performance targets to recommend optimal instance types, model optimization techniques (such as quantization and speculative decoding), and deployment configurations.
val error_to_string :
[ Smaws_Lib.Protocols.AwsJson.error
| `ResourceInUse of Types.resource_in_use
| `ResourceLimitExceeded of Types.resource_limit_exceeded
| `ResourceNotFound of Types.resource_not_found ] ->
stringval request :
'http_type Smaws_Lib.Context.t ->
Types.create_ai_recommendation_job_request ->
(Types.create_ai_recommendation_job_response,
[> Smaws_Lib.Protocols.AwsJson.error
| `ResourceInUse of Types.resource_in_use
| `ResourceLimitExceeded of Types.resource_limit_exceeded
| `ResourceNotFound of Types.resource_not_found ])
Stdlib.resultval request_with_metadata :
'http_type Smaws_Lib.Context.t ->
Types.create_ai_recommendation_job_request ->
(Types.create_ai_recommendation_job_response Smaws_Lib.Response.t,
[> Smaws_Lib.Protocols.AwsJson.error
| `ResourceInUse of Types.resource_in_use
| `ResourceLimitExceeded of Types.resource_limit_exceeded
| `ResourceNotFound of Types.resource_not_found ]
* Smaws_Lib.Response.metadata)
Stdlib.result