Remove Calibration Remove Construction Remove Feedback Remove Scripts
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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. A large part of that challenge comes from the need to hide your real emotions and continue to ‘grin and bear it,’ even when receiving negative or critical feedback.

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The Do’s and Don’ts of Agent Scorecards

SharpenCX

Regular doses of agent feedback are like taking daily vitamin C. And, with every piece of feedback you give, your agents get stronger. It means you offer the support and feedback your team needs, so they don’t push themselves to the brink of exhaustion (I learned a lesson or two on that). DO calibrate often.

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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. Once in production, ML consumers utilize the model via application-triggered inference through direct invocation or API calls, with feedback loops to model owners for ongoing performance evaluation. name: "llama2-7b-finetuned".