Model Quantization for efficient deployment with Amazon SageMaker AI | Amazon Web Services

Learn about efficient deployment techniques using Amazon SageMaker AI focusing on various model quantization approaches to deploying models for inference. This video discusses various approaches to quantization and their benefits. Model quantization is a technique used to reduce the computational and memory requirements of large language models, by reducing the precision of the model's parameters and computations, enabling faster, more efficient deployment with minimal accuracy loss.

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