AWS Machine Learning

MARCH 20, 2023

Import intel extensions for PyTorch to help with quantization and optimization and import torch for array manipulations: import intel_extension_for_pytorch as ipex import torch Apply model calibration for 100 iterations. Quantizing the model in PyTorch is possible with a few APIs from Intel PyTorch extensions.

Calibration 78

Calibration Scripts Benchmark APIs 78

AWS Machine Learning

OCTOBER 5, 2022

Based on 10 years of historical data, hundreds of thousands of face-offs were used to engineer over 70 features fed into the model to provide real-time probabilities. By continuously listening to NHL’s expertise and testing hypotheses, AWS’s scientists engineered over 100 features that correlate to the face-off event.

Calibration 92

Calibration Engineering Automotive Analytics 92

AWS Machine Learning

APRIL 8, 2024

Be mindful that LLM token probabilities are generally overconfident without calibration. TensorRT-LLM requires models to be compiled into efficient engines before deployment. Before introducing this API, the KV cache was recomputed for any newly added requests. For more details, refer to the GitHub repo.

Engineering 86

Engineering Calibration APIs Enterprise 86

NobelBiz

MAY 11, 2021

Better still, you can monitor the script on a daily basis to identify places for change and calibrate your voice. Seamlessly integrate proprietary or third-party CRM applications with our extensive APIs and data dictionary libraries. Remember that designing and using a call script is a daunting process that yields excellent results.

Scripts 52

Scripts Contact Center Calibration CRM 52

AWS Machine Learning

OCTOBER 25, 2023

Amazon SageMaker geospatial capabilities make it easier for data scientists and machine learning engineers to build, train, and deploy models using geospatial data. fractional change in reflectance yields good results but this can change from scene to scene and you will have to calibrate this for your specific use case.

Calibration 89

Calibration Engineering APIs Government 89

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 66

APIs Metrics Calibration Accountability 66

AWS Machine Learning

NOVEMBER 14, 2023

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.

Management 92

Management APIs Best practices Calibration 92