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Techniques for Creating Effective Customer Service Scripts for Your Call Center

Global Response

An effective call center script balances consistent service quality with personalized customer interactions. The script should serve as a guide rather than a rigid framework. It should enable agents to respond to the unique aspects of each call while maintaining a high standard of service.

Scripts 62
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Generate customized, compliant application IaC scripts for AWS Landing Zone using Amazon Bedrock

AWS Machine Learning

Amazon Bedrock empowers teams to generate Terraform and CloudFormation scripts that are custom fitted to organizational needs while seamlessly integrating compliance and security best practices. Traditionally, cloud engineers learning IaC would manually sift through documentation and best practices to write compliant IaC scripts.

Scripts 94
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25 Call Center Leaders Share the Most Effective Ways to Boost Contact Center Efficiency

Callminer

Training documentation needs to be updated regularly, and on-going training is important for improving efficiency. 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. Jeff Greenfield.

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Average Handle Time: A Comprehensive Guide

Hodusoft

Post-call work time = the time an agent spent on post-call work after the ending of the call (for example researching, documenting, etc.) What’s the “standard” AHT for a call center? AHT not only varies from industry to industry but also from one organization to another as well as from process to process.

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Improving your LLMs with RLHF on Amazon SageMaker

AWS Machine Learning

Reinforcement Learning from Human Feedback (RLHF) is recognized as the industry standard technique for ensuring large language models (LLMs) produce content that is truthful, harmless, and helpful. For more information, refer to the AWS Sagemaker Developer Guide’s documentation on “ Clean Up ”. configs/accelerate/zero2-bf16.yaml

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

Accelerate your security and AI/ML learning with best practices guidance, training, and certification AWS also curates recommendations from Best Practices for Security, Identity, & Compliance and AWS Security Documentation to help you identify ways to secure your training, development, testing, and operational environments.

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Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning

For latest information, please refer to the documentation above. VectorIngestionConfiguration – Contains details about how to ingest the documents in a data source. After you create a knowledge base, you need to create a data source from the Amazon Simple Storage Service (Amazon S3) bucket containing the files for your knowledge base.

APIs 97