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Add README with learning path, file index, and blog links Train and Deploy to SageMaker #25: Commit 66a8ced pushed by 120061203
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Add MLOps blog series (phase 1–5) and hero image prompts Train and Deploy to SageMaker #24: Commit a99095f pushed by 120061203
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increase training samples to 2000 Train and Deploy to SageMaker #23: Commit bf3dedc pushed by 120061203
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Simplify pipeline: Train → Register directly, remove Evaluate/Conditi… Train and Deploy to SageMaker #22: Commit 144c60c pushed by 120061203
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Fix: make evaluate.py list directory and search recursively for metri… Train and Deploy to SageMaker #21: Commit 40b4b6d pushed by 120061203
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Fix: disable checkpoint saving to ensure metrics.json is in model art… Train and Deploy to SageMaker #20: Commit 912cb15 pushed by 120061203
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Fix: use evaluation_strategy instead of eval_strategy for transformer… Train and Deploy to SageMaker #19: Commit 86c19c2 pushed by 120061203
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Fix: separate train.py into own directory to avoid evaluate.py conflict Train and Deploy to SageMaker #18: Commit c17279d pushed by 120061203
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Fix: use GPU instance for training step (ml.g4dn.xlarge) Train and Deploy to SageMaker #17: Commit 938f923 pushed by 120061203
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Fix: use ml.g4dn.xlarge (GPU) for inference instances in model registry Train and Deploy to SageMaker #16: Commit 3d9ca1a pushed by 120061203
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Fix: change py_version to py39 for transformers 4.26/pytorch 1.13 Train and Deploy to SageMaker #15: Commit 44e7f26 pushed by 120061203
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Fix: use transformers 4.26/pytorch 1.13 which supports CPU inference … Train and Deploy to SageMaker #14: Commit 3285422 pushed by 120061203
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Fix: remove unused container_uri retrieve call that caused CPU/GPU co… Train and Deploy to SageMaker #13: Commit 1c1702c pushed by 120061203
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Fix: update base_framework_version to pytorch2.0.0 Train and Deploy to SageMaker #12: Commit 3201b09 pushed by 120061203
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Fix: use transformers 4.28/pytorch 2.0 (stable SageMaker container) Train and Deploy to SageMaker #11: Commit 4b900b7 pushed by 120061203
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Fix: change transformers version from 4.37 to 4.36 (supported by Sage… Train and Deploy to SageMaker #10: Commit 7a28eac pushed by 120061203
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Fix: use PipelineSession for HuggingFaceModel to handle PipelineVaria… Train and Deploy to SageMaker #9: Commit f967a51 pushed by 120061203
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Fix: use step_eval.properties instead of .arguments for S3 URI in pip… Train and Deploy to SageMaker #8: Commit 34f2bbd pushed by 120061203
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Fix: pin sagemaker to v2 to avoid v3 breaking changes Train and Deploy to SageMaker #7: Commit f492125 pushed by 120061203
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Debug: force reinstall sagemaker and print version info Train and Deploy to SageMaker #6: Commit 56fbb4f pushed by 120061203
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Fix: use python -m pip and verify sagemaker.workflow import Train and Deploy to SageMaker #5: Commit 2f4f049 pushed by 120061203
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Fix: force upgrade sagemaker package to ensure workflow module available Train and Deploy to SageMaker #4: Commit 55d9c30 pushed by 120061203
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Fix: install full sagemaker package for workflow module support Train and Deploy to SageMaker #3: Commit d27c293 pushed by 120061203
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Fix workflow: use vars instead of secrets for AWS credentials Train and Deploy to SageMaker #2: Commit 5d8baac pushed by 120061203
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Add GitHub Actions workflow: train and deploy via SageMaker Pipeline Train and Deploy to SageMaker #1: Commit 129404f pushed by 120061203
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