google-cloud-aiplatform 1.36.0 on Python PyPI

1.36.0 (2023-10-31)

Add preview count_tokens method to CodeGenerationModel (96e7f7d)
Allow the users to use extra serialization arguments for objects. (ffbd872)
Also support unhashable objects to be serialized with extra args (77a741e)
LLM - Added count_tokens support to ChatModel (preview) (01989b1)
LLM - Added new regions for tuning and tuned model inference (3d43497)
LLM - Added support for async streaming (760a025)
LLM - Added support for multiple response candidates in code chat models (598d57d)
LLM - Added support for multiple response candidates in code generation models (0c371a4)
LLM - Enable tuning eval TensorBoard without evaluation data (eaf5d81)
LLM - Released CodeGenerationModel tuning to GA (87dfe40)
LLM - Support accelerator_type in tuning (98ab2f9)
Support experiment autologging when using persistent cluster as executor (c19b6c3)
Upgrade BigQuery Datasource to use write() interface (7944348)

Adding setuptools to dependencies for Python 3.12 and above. (afd540d)
Fix Bigframes tensorflow serializer dependencies (b4cdb05)
LLM - Fixed the async streaming (41bfcb6)
LLM - Make tuning use the global staging bucket if specified (d9ced10)
LVM - Fixed negative prompt in ImageGenerationModel (cbe3a0d)
Made the Endpoint prediction client initialization lazy (eb6071f)
Make sure PipelineRuntimeConfigBuilder is created with the right arguments (ad19838)
Make sure the models list is populated before indexing (f1659e8)
Raise exception for RoV BQ Write for too many rate limit exceeded (7e09529)
Rollback BigQuery Datasource to use do_write() interface (dc1b82a)