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@release-please release-please released this 31 Oct 19:33
v1.36.0
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1.36.0 (2023-10-31)

Features

  • 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)

Bug Fixes

  • 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)
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