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

AWS Machine Learning Blog

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. Mohammed holds a bachelor’s degree in Telecommunications Engineering from Concordia University. Create a file called invoke.py

BERT 93
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An introduction to preparing your own dataset for LLM training

AWS Machine Learning Blog

With several years of experience, he has worked on various domains of AI like computer vision, natural language processing etc. Vinayak led the data processing for the Amazon Titan model training. He carries an experience of more than a decade and a half working on entire ML and software engineering stack.

LLM 90