The Most Ignored Practice In AI Coding: Test-Driven Development

What Cherny is describing, in engineering terms, is the operating principle behind test-driven development (TDD). TDD has ...
Michigan Technological University

College of Forest Resources and Environmental Science

Dig deep. Climb high. Understand, manage, sustain, protect, and restore natural resources systems. The College of Forest Resources and Environmental Science at Michigan Technological University brings ...
GitHub

TurboQuant PyTorch — Implementation + Deep Tutorial

A from-scratch PyTorch implementation of TurboQuant (ICLR 2026), Google's two-stage vector quantization algorithm for compressing LLM key-value caches — enhanced with a comprehensive, research-grade ...
marktechpost

A Comprehensive Implementation Guide to ModelScope for Model Search, Inference, Fine-Tuning, Evaluation, and Export

In this tutorial, we explore ModelScope through a practical, end-to-end workflow that runs smoothly on Colab. We begin by setting up the environment, verifying dependencies, and confirming GPU ...
marktechpost

An Implementation Guide to Running NVIDIA Transformer Engine with Mixed Precision, FP8 Checks, Benchmarking, and Fallback Execution

In this tutorial, we implement an advanced, practical implementation of the NVIDIA Transformer Engine in Python, focusing on how mixed-precision acceleration can be explored in a realistic deep ...
GitHub

Affine Invariant Ensemble Sampler Tutorials

Click here for details This tutorial seeks to provide an illustration of the Affine-invariant property of this Ensemble sampler. In most instances, when one encounters a highly-anisotropic target ...