Remove en solutions robotic-process-automation
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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. Even ground and aerial robotics can use ML to unlock safer, more autonomous operations. infer-tensorflow-tc-bert-en-uncased-L-12-H-768-A-12-2.tar.gz

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A Common-Sense Approach to Employee Engagement

CSM Magazine

Voice of the Employee (VoE) is just as en vogue as Voice of the Customer (VoC). Give them permission to step outside of rigid rules, processes and scripts that dehumanise their participation. Ask agents what would make a positive difference to their working lives—don’t assume you know. For more information visit Calabrio.

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Fine-tune Llama 2 for text generation on Amazon SageMaker JumpStart

AWS Machine Learning

You can easily try out these models and use them with SageMaker JumpStart, which is a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. preprocessing_num_workers – The number of processes to use for preprocessing. We discuss both methods in this section.

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