Benchmark Calibration Examples 
TeleDirect
MARCH 20, 2025
Call auditing helps ensure that customer interactions meet established quality benchmarks while identifying areas for improvement. Conduct Calibration Sessions for Accuracy Calibration sessions ensure consistency across QA teams. For example: Improve first-call resolution (FCR) by 10% in three months.
AWS Machine Learning
DECEMBER 16, 2022
Fortuna provides calibration methods, such as conformal prediction, that can be applied to any trained neural network to obtain calibrated uncertainty estimates. Something like this, for example: p = [0.0001, 0.0002, …, 0.9991, 0.0003, …, 0.0001]. This concept is known as calibration [Guo C. 2022] methods.
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Call Design
JULY 6, 2021
A common grade of service is 70% in 20 seconds however service level goals should take into account corporate objectives, market position, caller captivity, customer perceptions of the company, benchmarking surveys and what your competitors are doing. The industry benchmark for the first call resolution measurement is between 70% to 75%.
AWS Machine Learning
MARCH 20, 2023
In the following example figure, we show INT8 inference performance in C6i for a BERT-base model. Refer to the appendix for instance details and benchmark data. The following example is a question answering algorithm using a BERT-base model. The code snippets are derived from a SageMaker example.
AWS Machine Learning
AUGUST 7, 2024
In our example, the organization is willing to approve a model for deployment if it passes their checks for model quality, bias, and feature importance prior to deployment. For this example, we provide a centralized model. You can create and run the pipeline by following the example provided in the following GitHub repository.
AWS Machine Learning
APRIL 27, 2023
Solution overview With the onset of large language models, the field has seen tremendous progress on various natural language processing (NLP) benchmarks. The final dataset contains feedback for 1,565 samples from StrategyQA and 796 examples for Sports Understanding. The following figure shows the interface we used. Missing Facts 50.4%
aircall
NOVEMBER 28, 2022
Before using Klaus: CSAT was 95% – above 2022’s benchmark of 89%. IQS measured 86% – slightly below 2022’s benchmark of 89%. Overall, they managed to push both their IQS and CSAT into higher realms of excellence – their IQS now beating the benchmark. With Klaus, they: 1. Identify areas of high learning potential .
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