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 ...
LinkedIn

Debugging Machine Learning Models - There is a method to the madness

The first time I tried to debug an ML model, I approached it like traditional software debugging. I went straight into the code, looking for a bug. But in ML, mistakes are rarely just bugs they are ...
LinkedIn

Debugging and Monitoring AI Pipelines for Large Language Models

Large Language Models (LLMs) such as GPT, LLaMA, and PaLM are reshaping how organizations build intelligent applications—from chatbots and virtual assistants to summarization, search, and reasoning ...
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 ...
Nature

Software belief reliability growth model incorporating change point and imperfect debugging based on uncertain differential equation approach

Many software reliability growth models (SRGMs) have been proposed by researchers within the context of probability theory to estimate software reliability, remaining number of faults and optimal ...
Microsoft

Adaptive Testing and Debugging of NLP Models

Current approaches to testing and debugging NLP models rely on highly variable human creativity and extensive labor, or only work for a very restrictive class of bugs. We present AdaTest, a process ...
GitHub

milanimcgraw/WandB-for-Gen-AI-Models

This project showcases how to evaluate, debug, and manage generative AI models using Weights & Biases (W&B) across multiple deep learning workflows, including diffusion models, LLMs, and image ...