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1. aws-samples/amazon-bedrock-client-for-mac aws-samples/amazon-bedrock-client-for-mac Public

   A sleek and powerful macOS client for Amazon Bedrock, bringing AI models to your desktop

   Swift 214 24

2. aws-architect-agent aws-architect-agent Public

   This project uses LangGraph and Amazon Bedrock to generate AWS architecture diagrams based on user queries.

   Python 1 1

3. aiml-pipeline aiml-pipeline Public

   This project implements an end-to-end AI/ML pipeline using AWS services including Redshift, S3, SageMaker, and API Gateway.

   Jupyter Notebook

4. llama2-finetuning-deploy llama2-finetuning-deploy Public

   을1�7 프로젝트늄1�7 Amazon SageMaker에서 LLama2 Large Language Model (LLM)을1�7 미세 조정하는 방법을1�7 보여줍니닄1�7. Hugging Face을1�7 PEFT (Parameter Efficient Fine-tuning) 기법계1�7 QLoRA (Quantized Low-Rank Adapters)륄1�7 사용하여, 댄1�7규모 언어 모델을1�7 덄1�7 효율적�1�7�1�7

   Jupyter Notebook 2 1

5. dkt-neuronx dkt-neuronx Public

   Deep Knowledge Tracing (DKT) using PyTorch and AWS Inferentia2 for efficient inference on SageMaker.

   Jupyter Notebook