APIs, Calibration and Metrics - Customer Contact Central

GenASL: Generative AI-powered American Sign Language avatars

AWS Machine Learning

AUGUST 26, 2024

The GenASL web app invokes the backend services by sending the S3 object key in the payload to an API hosted on Amazon API Gateway. API Gateway instantiates an AWS Step Functions The state machine orchestrates the AI/ML services Amazon Transcribe and Amazon Bedrock and the NoSQL data store Amazon DynamoDB using AWS Lambda functions.

APIs

APIs Calibration Best practices Metrics

Accelerate Amazon SageMaker inference with C6i Intel-based Amazon EC2 instances

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. Refer to invoke-INT8.py

Calibration

Calibration Scripts Benchmark APIs

Detect fraudulent transactions using machine learning with Amazon SageMaker

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. Lastly, we compare the classification result with the ground truth labels and compute the evaluation metrics.

APIs

APIs Metrics Calibration Accountability

Auto-labeling module for deep learning-based Advanced Driver Assistance Systems on AWS

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. Ground Truth supports these features. First, we download and prepare the date for inference.

Calibration

Calibration APIs Automotive Scripts

Call Center Insights in 2025: Enhance the Customer Experience

Balto

MARCH 17, 2025

Its not just about tracking basic metrics anymoreits about gaining comprehensive insights that drive strategic decisions. Key Metrics for Measuring Success Tracking the right performance indicators separates thriving call centers from struggling operations. This metric transforms support from cost center to growth driver.

Call Center

Call Center Customer Experience Average Handle Time Analytics

Boost inference performance for Mixtral and Llama 2 models with new Amazon SageMaker containers

AWS Machine Learning

APRIL 8, 2024

Be mindful that LLM token probabilities are generally overconfident without calibration. Before introducing this API, the KV cache was recomputed for any newly added requests. Be mindful that LLM token probabilities are generally overconfident without calibration.

Engineering

Engineering Calibration APIs Enterprise

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

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

Management Best practices Calibration APIs

Face-off Probability, part of NHL Edge IQ: Predicting face-off winners in real time during televised games

AWS Machine Learning

OCTOBER 5, 2022

The decision tree provided the cut-offs for each metric, which we included as rules-based logic in the streaming application. At the end, we found that the LightGBM model worked best with well-calibrated accuracy metrics. To evaluate the performance of the models, we used multiple techniques.

Calibration

Calibration Engineering Automotive Analytics

Brand Move Roundup – May 18, 2020

C Space

MAY 18, 2020

Giphy’s tools are already integrated with many Facebook competitors, including Twitter, Snapchat, Slack, Reddit, TikTok and Bumble , and both companies have said that Giphy’s outside partners will continue to have the same access to its library and API. The collection is priced at $349.

Entertainment

Entertainment Advertising Calibration APIs

Run secure processing jobs using PySpark in Amazon SageMaker Pipelines

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

Calibration Scripts Best practices Engineering

Operationalize LLM Evaluation at Scale using Amazon SageMaker Clarify and MLOps services

AWS Machine Learning

NOVEMBER 29, 2023

Furthermore, these data and metrics must be collected to comply with upcoming regulations. They need evaluation metrics generated by model providers to select the right pre-trained model as a starting point. Evaluating these models allows continuous model improvement, calibration and debugging.

Benchmark

Benchmark Metrics Engineering APIs

Accuracy evaluation framework for Amazon Q Business – Part 2

AWS Machine Learning

APRIL 22, 2025

The first post focused on selecting appropriate use cases, preparing data, and implementing metrics to support a human-in-the-loop evaluation process. In this section, we discuss key metrics that need to be included for a RAG generative AI solution. Its crucial to identify which aspects of the solution need evaluation.

Calibration

Calibration Metrics Enterprise Engineering

Build an enterprise synthetic data strategy using Amazon Bedrock

AWS Machine Learning

APRIL 8, 2025

Use the Amazon Bedrock API to generate Python code based on your prompts. It works by injecting calibrated noise into the data generation process, making it virtually impossible to infer anything about a single data point or confidential information in the source dataset.

Enterprise

Enterprise Calibration Best practices Accountability

Improve factual consistency with LLM Debates

AWS Machine Learning

NOVEMBER 22, 2024

We use the following AWS services: Amazon Bedrock to invoke LLMs AWS Identity and Access Management (IAM) for permission control across various AWS services Amazon SageMaker to host Jupyter notebooks and invoke the Amazon Bedrock API In the following sections, we demonstrate how to use the GitHub repository to run all of the techniques in this post.

Consulting

Consulting Consulting APIs Calibration

Customer Contact Central

GenASL: Generative AI-powered American Sign Language avatars

Accelerate Amazon SageMaker inference with C6i Intel-based Amazon EC2 instances

Trending Sources

Detect fraudulent transactions using machine learning with Amazon SageMaker

Auto-labeling module for deep learning-based Advanced Driver Assistance Systems on AWS

Call Center Insights in 2025: Enhance the Customer Experience

Boost inference performance for Mixtral and Llama 2 models with new Amazon SageMaker containers

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

Face-off Probability, part of NHL Edge IQ: Predicting face-off winners in real time during televised games

Brand Move Roundup – May 18, 2020

Run secure processing jobs using PySpark in Amazon SageMaker Pipelines

Operationalize LLM Evaluation at Scale using Amazon SageMaker Clarify and MLOps services

Accuracy evaluation framework for Amazon Q Business – Part 2

Build an enterprise synthetic data strategy using Amazon Bedrock

Improve factual consistency with LLM Debates

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