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base repository: aws/amazon-sagemaker-examples
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  • 20 commits
  • 283 files changed
  • 22 contributors

Commits on Jun 24, 2024

  1. Update SMP v2 notebooks to use latest PyTorch 2.3.1, TSM 2.4.0 release (

    #4678)
    * Update SMP v2 notebooks to use latest PT2.3.1-TSM2.4.0 release.
    * Update SMP v2 shared_scripts
    * Update minimum sagemaker pysdk version to 2.224
    viclzhu authored Jun 24, 2024
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Commits on Jun 27, 2024

  1. Parsash2 patch 1 ( #4690 )

    * tutorials-after-initial-feedback
    Added descriptive text to make the notebooks stand on their own.
    * move athena notebook into dedicated folder
    * renamed athena end2end notebooks
    * moved pyspark notebook into dedicated directory
    * minor change: consistent directory naming convention
    * Added overview, headers, and explantory text
    Tested the notebook end to end. Added more context for processing jobs and cleaning up. The output is visible in the cells.
    * Added overview, headers, explanatory text
    Also added troubleshooting note from further testing.
    * fix directory locations for new notebooks
    * clear notebook outputs
    * added integration for ci test results
    * updated formatting with black-nb
    * update athena notebook: fix parse predictions
    * fixed ci integration for pyspark-etl-training notebook
    ---------
    Co-authored-by: Janosch Woschitz <jwos@amazon.de>
    parsash2 and jwoschitz authored Jun 27, 2024
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Commits on Jul 2, 2024

  1. MLflow setup ( #4689 )

    * Add SageMaker MLflow examples
    * Add badges
    * Add MLflow setup notebook; upgrade SageMaker Python SDK for deployment notebook
    * Linting
    * More linting changes
    ---------
    Co-authored-by: Bobby Lindsey <bwlind@amazon.com>
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Commits on Jul 5, 2024

  1. Configuration menu
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Commits on Jul 8, 2024

  1. initial commit of Blog content: "using step decorator for bedrock fin...

    ...e tuning" (https://sim.amazon.com/issues/ML-16440) (#4657)
    * initial commit of using step decorator for bedrock fine tuning
    * ran black command on the notebook
    * Added CI badges
    * Added CI badges
    * fixed typo in notebook title
    ---------
    Co-authored-by: Ashish Rawat <rawataws@amazon.com>
    Co-authored-by: Zhaoqi <jzhaoqwa@amazon.com>
    3 people authored Jul 8, 2024
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Commits on Jul 9, 2024

  1. New folder structure ( #4694 )

    * Deleted 17 duplicate notebooks (#4685)
    * Updated README, removed broken links and fixed markdown (#4687)
    * New Folder Structure Implementation - Archived remaining geospatial example notebooks (#4691)
    * Archived remaining geospatial example notebooks
    * Removed geospatial from README.md
    * Archived remaining workshop notebooks (#4692)
    * Archived outdated example notebooks between 1-90 views (#4693)
    ---------
    Co-authored-by: jsmul <jsmul@amazon.com>
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  2. Revert "New folder structure ( #4694 )" ( #4701 )

    This reverts commit 970d88e due to broken blog links
    zhaoqizqwang authored Jul 9, 2024
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Commits on Jul 17, 2024

  1. adding notebook for forecast to canvas workshop ( #4704 )

    * adding notebook for forecast to canvas workshop
    * formatting the notebook using black
    pro-biswa authored Jul 17, 2024
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Commits on Jul 18, 2024

  1. Adds notebook for deploying and monitoring llm on sagemaker usin fmev...

    ...al for evaluation (#4705)
    Co-authored-by: Brent Friedman <brentfr@amazon.com>
    brentfriedman725 and Brent Friedman authored Jul 18, 2024
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Commits on Jul 23, 2024

  1. Update athena_ml_workflow_end_to_end.ipynb ( #4702 )

    Fixed bucket names and external links. No change to underlying code or formatting.
    Co-authored-by: sage-maker <parknate@amazon.com>
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  2. SageMaker FasterAutoscaling Llama3-8B TGI, real-time endpoints ( #4712 )

    * SageMaker FasterAutoscaling Llama3-8B TGI, real-time endpoints
    * Moved trigger autoscaling to shell script. Removed shell=True in subprocess.Popen
    ---------
    Co-authored-by: Aditi Sharma <165942273+Aditi2424@users.noreply.github.com>
    pchamart and Aditi2424 authored Jul 23, 2024
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Commits on Jul 25, 2024

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Commits on Jul 31, 2024

  1. SageMaker pipeline step decorator blog ( #4715 )

    * initial commit of using step decorator for bedrock fine tuning
    * ran black command on the notebook
    * Added CI badges
    * Added CI badges
    * fixed typo in notebook title
    * added comments and reviewer feedback
    ---------
    Co-authored-by: Ashish Rawat <rawataws@amazon.com>
    Co-authored-by: Zhaoqi <jzhaoqwa@amazon.com>
    3 people authored Jul 31, 2024
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Commits on Aug 2, 2024

  1. LLM Monitoring Multiple Evals ( #4718 )

    * Removed bug where automatic permission attachment errors
    * Adds notebook for monitoring llm with multiple eval libraries
    ---------
    Co-authored-by: Brent Friedman <brentfr@amazon.com>
    Co-authored-by: nileshvd <113946607+nileshvd@users.noreply.github.com>
    3 people authored Aug 2, 2024
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Commits on Aug 8, 2024

  1. Revert "New folder structure ( #4680 )" ( #4728 )

    This reverts commit 2485535.
    zhaoqizqwang authored Aug 8, 2024
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Commits on Sep 22, 2024

  1. Update package version ( #4754 )

    Update installed package version to fix broken notebook
    zhaoqizqwang authored Sep 22, 2024
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Commits on Dec 9, 2024

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Commits on Jan 16, 2025

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Commits on Jan 21, 2025

  1. Append the default_bucket_prefix to s3 paths if one exists to hyperpa...

    ...rameter_tuning, introduction_to_amazon_algorithms and sagemaker-pipelines sample notebooks (#4807)
    **Description**
    This change checks the sagemaker session if there is a default_bucket_prefix set. If a default bucket prefix is specified, it is append it to the s3 path. This was done for hyperparameter_tuning, introduction_to_amazon_algorithms and sagemaker-pipelines sample notebooks. This ensures sample notebooks that utilize s3, works in SageMaker Unified Studio.
    Co-authored-by: Marco Friaz <marfriaz@amazon.com>
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  2. Append the default_bucket_prefix to s3 paths if one exists to inferen...

    ...ce sample notebooks (#4808)
    **Description**
    This change checks the sagemaker session if there is a default_bucket_prefix set. If a default bucket prefix is specified, it is append it to the s3 path. This was done for inference sample notebooks. This ensures sample notebooks that utilize s3, works in SageMaker Unified Studio.
    Co-authored-by: Marco Friaz <marfriaz@amazon.com>
    Co-authored-by: Erick Benitez-Ramos <141277478+benieric@users.noreply.github.com>
    3 people authored Jan 21, 2025
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