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Changelog

v1.4.0 (2026-01-22)

Bug fixes and Other Changes

  • Add Nova training support in Model Trainer

v1.3.1 (2026-01-12)

Bug fixes and Other Changes

  • Removing experiment_config parameter for aws_batch as it is no longer needed with the removal of Estimator

v1.3.0 (2025-12-19)

Features

  • AWS_Batch: queueing of training jobs with ModelTrainer

v1.2.0 (2025-12-18)

Features

  • Evaluator handshake with trainer
  • Datasets Format validation

v1.1.1 (2025-12-10)

Bug fixes and Other Changes

  • Add validation to bedrock reward models
  • Hyperparameter issue fixes, Add validation s3 output path
  • Fix the recipe selection for multiple recipe scenario
  • Train wait() timeout exception handling
  • Update example notebooks to reflect recent code changes
  • Update model_package_group_name param to model_package_group in finetuning interfaces
  • remove dataset param for benchmark evaluator

v1.1.0 (2025-12-03)

Features

  • Fine-tuning SDK: SFT, RLVR, and RLAIF techniques with standardized parameter design
  • AIRegistry Integration: Added CRUD operations for datasets and evaluators
  • Enhanced Training Experience: Implemented MLFlow metrics tracking and deployment workflows

v1.0.1 (2025-11-19)

  • Update project dependencies to include submodules: sagemaker-core, sagemaker-train, sagemaker-serve, sagemaker-mlops