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Putting Humanity in Contact Centers

Customer Relationship Metrics

The reasons behind millennials’ desire to enhance their skills and to further their careers is a great opportunity when a constructive process exists. Get a Constructive Process. While technology may have helped to automate these practices, the constructs are relatively the same. What to do now.

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The Do’s and Don’ts of Agent Scorecards

SharpenCX

DO calibrate often. Get specific with the grade you give, and always follow up with relevant pieces of feedback to help agents turn constructive criticism into action items for future conversations. How many seconds did they spend off-script? Or, do you see customers moving to competitors after heated conversations with agents?

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Operationalize LLM Evaluation at Scale using Amazon SageMaker Clarify and MLOps services

AWS Machine Learning

Evaluating these models allows continuous model improvement, calibration and debugging. Fine-tuning is faster and cheaper than a full training and requires faster operative iteration for deployment and testing because many candidate models are usually generated. name: "llama2-7b-finetuned". html") s3_object = s3.Object(bucket_name=output_bucket,