GitHub

Debugging Machine Learning Models with Python

What is this book about? Debugging Machine Learning Models with Python is a comprehensive guide that navigates you through the entire spectrum of mastering machine learning, from foundational concepts ...
IEEE

Prompt Engineering for Python Code Debugging with Large Language Models: A Comparative Analysis of Zero-Shot, Few-Shot, and Chain-of-Thought Approaches

Abstract: This paper presents a comprehensive comparative analysis of three distinct prompt engineering strategies—Zero-Shot, Few-Shot, and Chain-of-Thought—for Python code debugging applications ...
VentureBeat

Uber open-sources Manifold, a visual tool for debugging AI models

Debugging machine learning (ML) models isn’t a walk in the woods. Just ask the data scientists and engineers at Uber, some of whom have the unenviable task of digging into algorithms to diagnose the ...
GitHub

debugging_concept_bottleneck_models_through_removal_and_retraining.md

description [ICLR2026][Interpretability][Concept Bottleneck Models] To address the issue of Concept Bottleneck Models (CBMs) learning spurious concepts and systematic misalignment with expert ...
IEEE

Fault localization models in debugging

Abstract: Debugging is considered as a rigorous but important feature of software engineering process. Since more than a decade, the software engineering research community is exploring different ...