Remove Calibration Remove Groups Remove Metrics
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Building Your Best Culture in 2019

CX Accelerator

From Jeremy Hyde: How do your leaders calibrate on what they “coach” on and how/when they approach it? They feel the pressure of meeting metrics but don’t know how and when to strike a balance. The output from the meeting was a "team charter" that outlined how they would communicate with each other.

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

Callminer

Metrics, Measure, and Monitor – Make sure your metrics and associated goals are clear and concise while aligning with efficiency and effectiveness. Make each metric public and ensure everyone knows why that metric is measured. Rerouting the calls to the Campaign B agent group improves efficiency. Jeff Greenfield.

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How To Set Up Excellent Call Center Calibration sessions?

NobelBiz

Calibration sessions serve this purpose for call centers. This article decodes the function and best practices for call calibration. Key Points: Call Center Calibration measures how well the call center works as a whole. You must assist the call center in ensuring the accuracy of its quality measurement procedures.

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Putting Humanity in Contact Centers

Customer Relationship Metrics

The largest age group of contact centers agents are millennials. Organizations must create performance management and employee development programs that use customer relationship metrics to drive their service delivery. Think about the evaluation, the calibration, and the coaching. Employee Development. In the Early Years.

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How to Combine CSAT With Other KPIs for the Bigger Picture

Nicereply

How can you combine customer satisfaction metrics? In the world of customer support metrics, Customer Satisfaction (CSAT) is king. It’s no wonder that it’s arguably the #1 support metric. Table of Contents How to combine CSAT with other metrics? How to combine CSAT with other metrics?

Metrics 98
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Model management for LoRA fine-tuned models using Llama2 and Amazon SageMaker

AWS Machine Learning

Additionally, optimizing the training process and calibrating the parameters can be a complex and iterative process, requiring expertise and careful experimentation. During fine-tuning, we integrate SageMaker Experiments Plus with the Transformers API to automatically log metrics like gradient, loss, etc.

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Predict football punt and kickoff return yards with fat-tailed distribution using GluonTS

AWS Machine Learning

To avoid leakage during cross-validation, we grouped all plays from the same game into the same fold. For evaluation, we kept the metric used in the Kaggle competition, the continuous ranked probability score (CRPS) , which can be seen as an alternative to the log-likelihood that is more robust to outliers. k10 Baseline 0 4.074 9.62