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

   SageMaker Model Serving Patterns

   Jupyter Notebook 24 3

2. 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

3. 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 35 11

4. 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 35 11

5. 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 30 13

6. evaluate-llm-on-korean-dataset evaluate-llm-on-korean-dataset Public

   Performs benchmarking on two Korean datasets with minimal time and effort.

   Python 27 3