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Build a multilingual automatic translation pipeline with Amazon Translate Active Custom Translation

AWS Machine Learning

We demonstrate how to use the AWS Management Console and Amazon Translate public API to deliver automatic machine batch translation, and analyze the translations between two language pairs: English and Chinese, and English and Spanish. In this post, we present a solution that D2L.ai

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Contact Center Technologies 2017: find out what 23 experts say

RichCall

Check out what recent reports and experts suggest, and take part in a contact center benchmarking survey to get more accurate data on the current contact center trends. Global Contact Centre Benchmarking Report, Dimension Data 2017. Dimension Data’s 2016 Global Contact Centre Benchmarking Report, © Dimension Data 2013-2016.

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Build high-performance ML models using PyTorch 2.0 on AWS – Part 1

AWS Machine Learning

The following figure shows a performance benchmark of fine-tuning a RoBERTa model on Amazon EC2 p4d.24xlarge inference with AWS Graviton processors for details on AWS Graviton-based instance inference performance benchmarks for PyTorch 2.0. We added the following argument to the trainer API in train_sentiment.py DLAMI + DLC.

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Selection, Implementation and Use: The Journey of Contact Center Technology with Joe Rice

Vistio

And in 2012, I decided to make the jump to the indirect or referral partner channels, where a lot of these big Gartner ranked vendors across contact center and unified communications and networking have these really robust programs that enable partners, or referral brokers, or agents to basically add value around the purchasing process.