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1. aws-samples/aiot-e2e-sagemaker-greengrass-v2-nvidia-jetson aws-samples/aiot-e2e-sagemaker-greengrass-v2-nvidia-jetson Public

   Hands-on lab from ML model training to model compilation to edge device model deployment on the AWS Cloud. It covers the detailed method of compiling SageMaker Neo for the target device, including …

   Python 16 4

2. aws-samples/sm-model-serving-patterns aws-samples/sm-model-serving-patterns Public

   SageMaker Model Serving Patterns

   Jupyter Notebook 24 3

3. genai-ko-LLM genai-ko-LLM Public

   This hands-on lab walks you through a step-by-step approach to efficiently serving and fine-tuning large-scale Korean models on AWS infrastructure.

   Jupyter Notebook 25 8

4. Azure/synthetic-qa-generation Azure/synthetic-qa-generation Public

   This hands-on lab aims to alleviate some of that headache by demonstrating how to create/augment a QnA dataset from complex unstructured data, assuming a real-world scenario. The sample aims to be …

   Jupyter Notebook 32 9

5. Azure/azure-llm-fine-tuning Azure/azure-llm-fine-tuning Public

   This hands-on walks you through fine-tuning an open source LLM on Azure and serving the fine-tuned model on Azure. It is intended for Data Scientists and ML engineers who have experience with fine-…

   Python 34 10

6. Azure/slm-innovator-lab Azure/slm-innovator-lab Public

   This lab is a 1-day/2-day end-to-end SLM workshop led and developed by AI GBB. Attendees will learn how to quickly and easily perform the data preparation-fine tuning-serving-LLMOps series of proce…

   Jupyter Notebook 25 12