AWS Machine Learning

MARCH 20, 2023

Refer to the appendix for instance details and benchmark data. 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. times greater with INT8 quantization.

Calibration 89

Calibration Scripts Benchmark APIs 89

AWS Machine Learning

APRIL 8, 2024

In this post, we explore the latest features introduced in this release, examine performance benchmarks, and provide a detailed guide on deploying new LLMs with LMI DLCs at high performance. Be mindful that LLM token probabilities are generally overconfident without calibration.

Engineering 103

Engineering Calibration APIs Enterprise 103

AWS Machine Learning

OCTOBER 5, 2022

We explored nearest neighbors, decision trees, neural networks, and also collaborative filtering in terms of algorithms, while trying different sampling strategies (filtering, random, stratified, and time-based sampling) and evaluated performance on Area Under the Curve (AUC) and calibration distribution along with Brier score loss.

Calibration 102

Calibration Engineering Automotive Analytics 102

Balto

MARCH 17, 2025

Response times across digital channels require different benchmarks: Live chat : 30 seconds or less Email : Under 4 hours Social media : Within 60 minutes Agent performance metrics should balance efficiency with quality. Scorecards combining AHT, FCR, and customer satisfaction create well-rounded performance measurement.

Call Center 52

Call Center Customer Experience Average Handle Time Analytics 52

AWS Machine Learning

NOVEMBER 29, 2023

Each trained model needs to be benchmarked against many tasks not only to assess its performances but also to compare it with other existing models, to identify areas that needs improvements and finally, to keep track of advancements in the field. Evaluating these models allows continuous model improvement, calibration and debugging.

Benchmark 101

Benchmark Metrics Engineering APIs 101

AWS Machine Learning

NOVEMBER 22, 2024

Dataset The dataset for this post is manually distilled from the Amazon Science evaluation benchmark dataset called TofuEval. LLM debates need to be calibrated and aligned with human preference for the task and dataset. For this post, 10 meeting transcripts have been curated from the MediaSum repository inside the TofuEval dataset.

Consulting 95

Consulting Consulting APIs Calibration 95