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Deploy pre-trained models on AWS Wavelength with 5G edge using Amazon SageMaker JumpStart

AWS Machine Learning Blog

With the advent of high-speed 5G mobile networks, enterprises are more easily positioned than ever with the opportunity to harness the convergence of telecommunications networks and the cloud. infer-tensorflow-tc-bert-en-uncased-L-12-H-768-A-12-2.tar.gz Run the train_model.py amazonaws.com/tensorflow-inference:2.8-cpu sourcedir.tar.gz

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning Blog

However, when building generative AI applications, you can use an alternative solution that allows for the dynamic incorporation of external knowledge and allows you to control the information used for generation without the need to fine-tune your existing foundational model. Before you get started with the solution, create an AWS account.

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