Model Evaluation Articles

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11/13/2025 • EN

What happens if AI labs train for pelicans riding bicycles?

A humorous look at AI model benchmarking using the challenge of generating an SVG of a pelican riding a bicycle, and the risks of labs 'gaming' the test.

AI Training benchmarking generative ai Model Evaluation svg

Simon Willison

4/25/2022 • EN

Creating Confidence Intervals for Machine Learning Classifiers

A guide to creating confidence intervals for evaluating machine learning models, covering multiple methods to quantify performance uncertainty.

Confidence Intervals Machine Learning Model Evaluation performance metrics statistics

Sebastian Raschka

3/24/2022 • EN

TorchMetrics

Explains the difference between .update() and .forward() in TorchMetrics, a PyTorch library for tracking model performance during training.

Deep Learning metrics Model Evaluation Performance Tracking Pytorch

Sebastian Raschka

6/11/2016 • EN

Model evaluation, model selection, and algorithm selection in machine learning

A guide to model evaluation, selection, and algorithm comparison in machine learning to ensure models generalize well to new data.

Algorithm Selection Generalization Performance Machine Learning Model Evaluation Model Selection

Sebastian Raschka

Model Evaluation Articles

What happens if AI labs train for pelicans riding bicycles?

Creating Confidence Intervals for Machine Learning Classifiers

TorchMetrics

Model evaluation, model selection, and algorithm selection in machine learning

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