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How Axfood enables accelerated machine learning throughout the organization using Amazon SageMaker

AWS Machine Learning

However, even though the pace of innovation is high, the different teams had developed their own ways of working and were in search of a new MLOps best practice. We decided to put in a joint effort to build a prototype on a best practice for MLOps. Apply the trained model to make predictions of future events.

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The Ultimate Guide to Call Center Training

Fonolo

Read on for our complete guide, where we’ll explore all the best practices. Most people think of training as a one-time event or program, but that’s just the tip of the iceberg. These off-site training sessions give employees the chance to keep up with industry best practices and bring back ideas that can help the workplace.

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B2B Customer Journey Touchpoints CS Teams Need To Plan For

Totango

Customer support events. For each priority touchpoint, develop best practices that represent what the customer should ideally experience to achieve a satisfying outcome, as well as possible impediments that can arise and how your team can resolve these. The new premium user’s completion of the onboarding process. Upsell offers.

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25 Call Center Leaders Share the Most Effective Ways to Boost Contact Center Efficiency

Callminer

If all these points mentioned above are practiced, the contact center will have a great track record with their clients and agents alike. Bill Dettering is the CEO and Founder of Zingtree , a SaaS solution for building interactive decision trees and agent scripts for contact centers (and many other industries). Bill Dettering.

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Call Center Agent Feedback: Tips & Best Practices for Providing Effective Agent Feedback

Callminer

To empower call center leaders to improve agent feedback, we’ve rounded up 25 tips and best practices for delivering effective agent feedback. Check out some more information about agent performance from our vault here: Expert Tips & Best Practices for Effective Agent Feedback.

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Best practices to build generative AI applications on AWS

AWS Machine Learning

Their research indicates that zero-shot CoT, using the same single-prompt template, significantly outperforms zero-shot FM performances on diverse benchmark reasoning tasks. For more details about training LLMs on SageMaker, refer to Training large language models on Amazon SageMaker: Best practices and SageMaker HyperPod.

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Best practices for load testing Amazon SageMaker real-time inference endpoints

AWS Machine Learning

This post describes the best practices for load testing a SageMaker endpoint to find the right configuration for the number of instances and size. We first benchmark the performance of our model on a single instance to identify the TPS it can handle per our acceptable latency requirements.