Jupyter to Production: Deploy a Custom LLM for Customer on AWS SageMaker in 4 Steps [MLOps]
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Jupyter to Production: Deploy a Custom LLM for Customer on AWS SageMaker in 4 Steps [MLOps]
Go from a simple Jupyter Notebook to a production-ready Large Language Model (LLM) deployed on a scalable AWS SageMaker Endpoint. This **end-to-end MLOps flow** breaks down the entire pipeline, showing you exactly how Data Scientists and ML Engineers deploy custom, fine-tuned models today. We use **QLoRA** for efficient, cost-effective fine ...
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