amazon-sagemaker-examples
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Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
**Link to the notebook** https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart-foundation-models/mistral-7b-instruction-domain-adaptation-finetuning.ipynb **Describe the bug** I get an error when I run the training step for instruction fine-tuning in this notebook. The training job starts properly, but...
Hi, I'd like to be able to alter the sagemaker jupyterlab container to block a certain domain and IP address from being accessed by the jupyterlab user. I see that...
it is not clear what dynamic feature is? I can not find description/definition on https://docs.aws.amazon.com/sagemaker/latest/dg/deepar-in-formats.html and in paper not mentioned ? https://arxiv.org/pdf/1704.04110.pdf if somebody can share link to definition what...
Hi All, I use DeepAR for time series prediction using multiple input timeseries. Shortly, I have several timeseries (lets say Input_1, Input_2, Input_3 and Input_5 and TARGET). All these values...
*Description of changes:* - **Updating the model parallel v2 README to clarify usage of shared-scripts directory** - **Disabling fp8 by default for backward compatibility** - **Updating llma finetuning example with...
Issue #4601 Add Python string format ## Merge Checklist - [x] I have read the [CONTRIBUTING](https://github.com/aws/amazon-sagemaker-examples/blob/master/CONTRIBUTING.md) doc and adhered to the example notebook best practices - [x] I have updated...
Use Faster whisper as a custom model artifact from hugging-face that serves on SageMaker as a multi-model endpoint with triton. *Description of changes:* Described on the ReadMe *Testing is done:*...
*Issue #, if available:* *Description of changes:* *Testing done:* ## Merge Checklist _Put an `x` in the boxes that apply. You can also fill these out after creating the PR....
**Link to the notebook** Add the link to the notebook. https://github.com/aws/amazon-sagemaker-examples/blob/main/advanced_functionality/scikit_learn_bring_your_own_model/scikit_learn_bring_your_own_model.ipynb **Describe the bug** I am unable to download the model artifacts from the S3 bucket . Not sure if...
*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....
