The answer
By putting SageMaker endpoints behind Amazon API Gateway and securing them using IAM permissions.
How to Deploy Machine Learning Models and LLMs to AWS
How do I secure model endpoints?
More FAQs in How to Deploy Machine Learning Models and LLMs to AWS
Amazon's comprehensive cloud service designed to build, train, tune, and deploy machine learning models efficiently.
Only very small models. Large LLMs require significant RAM and GPU support, which exceeds Lambda limitations.
A technique that reduces the numerical precision of model weights (e.g. from 16-bit to 4-bit) to save memory.
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