Remove en solutions public-sector
article thumbnail

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

AWS Machine Learning

As an example, smart venue solutions can use near-real-time computer vision for crowd analytics over 5G networks, all while minimizing investment in on-premises hardware networking equipment. 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

article thumbnail

Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning

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.