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Crafting Empathy and Personalization: Ingredients Of A Well-Balanced Customer Service Script

TeleDirect

That’s where a customer service script comes into play. Call handling scripts outline the customer’s journey and prompt the person representing your company to create a memorable and consistent interaction with a client, customer or business associate. They contain the preferred language and answers to commonly asked questions.

Scripts 62
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Enable faster training with Amazon SageMaker data parallel library

AWS Machine Learning

Large language model (LLM) training has become increasingly popular over the last year with the release of several publicly available models such as Llama2, Falcon, and StarCoder. Customers are now training LLMs of unprecedented size ranging from 1 billion to over 175 billion parameters. sharded) across GPUs in the training job.

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Scaling distributed training with AWS Trainium and Amazon EKS

AWS Machine Learning

Although larger models tend to be more powerful, training such models requires significant computational resources. Even with the use of advanced distributed training libraries like FSDP and DeepSpeed, it’s common for training jobs to require hundreds of accelerator devices for several weeks or months at a time.

Scripts 91
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The Ultimate Guide to Call Center Training

Fonolo

Call center training has always been one of the key pillars of running a successful call center. A strong call center training program should not just be part of your onboarding process. Still have questions about call center training? What is Call Center Training? Don’t just pick one.

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Live Chat: To script or not to script

RapportBoost

Chat scripts are a handy tool, especially for chat agents who find themselves often responding to related customer inquiries. Chat scripts, or canned responses, help companies ensure quality control, implement precise language for optimal results, and increase customer happiness. Not all companies implement chat scripts with success.

Scripts 80
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Train self-supervised vision transformers on overhead imagery with Amazon SageMaker

AWS Machine Learning

Training machine learning (ML) models to interpret this data, however, is bottlenecked by costly and time-consuming human annotation efforts. By training on large amounts of unlabeled image data, self-supervised models learn image representations that can be transferred to downstream tasks, such as image classification or segmentation.

Scripts 71
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10 effective tips for training WFH contact center agents

Talkdesk

Customer expectations for service are rapidly evolving, so training a team of at-home agents to align with these expectations can bring tangible benefits to any company. Say “Hi” to the team Kick off training with a video introduction from the call center managing director, department heads and agent supervisors.