AWS Machine Learning

MARCH 20, 2023

Use the supplied Python scripts for quantization. Run the provided Python test scripts to invoke the SageMaker endpoint for both INT8 and FP32 versions. In this case, you are calibrating the model with the SQuAD dataset: model.eval() conf = ipex.quantization.QuantConf(qscheme=torch.per_tensor_affine) print("Doing calibration.")

Calibration 94

Calibration Scripts Benchmark APIs 94

NobelBiz

MAY 11, 2021

Writing a call script is a must for contact centers that want to excel in their prospecting effort. If you write it according to the rules of the game, the script is an observable, cost-effective, and efficient method of attracting and maintaining prospects and clients. What exactly is call scripting? Why do scripts exist?

Scripts 52

Scripts Contact Center Calibration CRM 52

AWS Machine Learning

JULY 3, 2023

AV/ADAS teams need to label several thousand frames from scratch, and rely on techniques like label consolidation, automatic calibration, frame selection, frame sequence interpolation, and active learning to get a single labeled dataset. This includes scripts for model loading, inference handling etc.

Calibration 102

Calibration APIs Scripts Automotive 102

AWS Machine Learning

OCTOBER 19, 2022

To demonstrate how you can use this solution in your existing business infrastructures, we also include an example of making REST API calls to the deployed model endpoint, using AWS Lambda to trigger both the RCF and XGBoost models. This adds a useful calibration to our model. Prerequisites. Launch the solution.

APIs 83

APIs Metrics Calibration Accountability 83

pindrop

OCTOBER 21, 2021

Process Automation – Intelligent call routing, intelligent scripting and unification of desktop across applications to improve agent efficiency. The technology can complete analysis in under 60 milliseconds and delivers a risk score to the IVR using an API. Improve AX - Agent-Oriented Elements. 6 Things Contact Centers Should do.

Contact Center 57

Contact Center Interactive Voice Response Self service Call Center 57

AWS Machine Learning

APRIL 11, 2023

SageMaker Processing jobs allow you to specify the private subnets and security groups in your VPC as well as enable network isolation and inter-container traffic encryption using the NetworkConfig.VpcConfig request parameter of the CreateProcessingJob API. We provide examples of this configuration using the SageMaker SDK in the next section.

Calibration 93

Calibration Scripts Best practices Engineering 93

AWS Machine Learning

NOVEMBER 29, 2023

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".

Benchmark 109

Benchmark Metrics Engineering APIs 109