amazon-sagemaker-examples
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Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
*Issue #, if available:* *Description of changes:* This is a new feature. It provides an example of serving opt-30b with PyTorch native solution (TorchServe+Pippy)/ *Testing done:* ## Merge Checklist _Put...
**Link to the notebook** - https://github.com/aws/amazon-sagemaker-examples/blob/master/training/distributed_training/pytorch/data_parallel/bert/pytorch_smdataparallel_bert_demo.ipynb - https://github.com/aws/amazon-sagemaker-examples/blob/master/training/distributed_training/pytorch/data_parallel/maskrcnn/pytorch_smdataparallel_maskrcnn_demo.ipynb **Describe the bug** Ran the first 5 code cells for pushing the provided docker container with the image and tags: ``` image...
Bumps [langchain](https://github.com/langchain-ai/langchain) from 0.0.195 to 0.1.11. Release notes Sourced from langchain's releases. v0.1.11 What's Changed more query analysis docs by @hwchase17 in langchain-ai/langchain#18358 docs: anthropic qa quickstart by @baskaryan in...
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**Link to the notebook** https://github.com/aws/amazon-sagemaker-examples/blob/master/advanced_functionality/distributed_tensorflow_mask_rcnn/mask-rcnn-inference.ipynb **Describe the bug** My goal is to follow the sagemaker example notebooks to train a MaskRcnn model, deploy it, and test it on an image....
Some example links are broken, they don’t redirect to the right page: - On this page, clicking on the link “pre-built scikit container” returns a "page not found" error. https://github.com/aws/amazon-sagemaker-examples/blob/main/advanced_functionality/scikit_bring_your_own/scikit_bring_your_own.ipynb...
**Describe the use case example you want to see** I'm currently trying to figure out how to Fine Tune a LLM with FSDP on a single instance with multiple GPUs....
*Issue #, if available:* N/A *Description of changes:* Updated LMI version to the latest available, switched to using vLLM in the container and switched to use JumpStartModel for embedding model...
I am trying to train a TensorFlow custom classification model using a custom data generator on SageMaker Studio. However, the notebook did not utilize the GPU to train the model....
**Link to the notebook** [A Move Amazon SageMaker Autopilot ML models from experimentation to production using Amazon SageMaker Pipelines](https://github.com/aws/amazon-sagemaker-examples/blob/main/autopilot/sagemaker-autopilot-pipelines/autopilot_pipelines_demo_notebook.ipynb) **Describe the bug** Cannot download data from the pointed source. ```...
*Issue #, if available:* *Description of changes: Add examples for TimeSeries Explainability *Testing done: Notebook runs end to end ## Merge Checklist _Put an `x` in the boxes that apply....
