Slash LLM Memory by 84% with Fused Kernels

Scaling Large Language Models often leads to massive memory bottlenecks in the final Cross-Entropy layer. Ahmad Wael explains how Fused Kernels, built with Triton, can slash VRAM usage by 84% using tiling and online softmax. Learn how to eliminate the logit bottleneck and avoid the dreaded OOM errors in production.

Maximize Efficiency: My Terminal-First AI Coding Setup

I’ve spent 14 years refining my workflow, and the shift to AI agents has completely changed the game. In this article, I break down my efficient coding setup using Claude Code, Warp, and Git Worktrees. Forget heavy IDEs; the terminal is where real speed happens when managing complex WordPress and WooCommerce projects.

Topic Modeling Techniques for 2026: Seeded Modeling & LLMs

Standard topic modeling is dead. Between junk topics and massive compute costs, throwing raw data at LDA just doesn’t cut it anymore. Ahmad Wael explains how to use Seeded KeyNMF and LLM-assisted summarization to build stable, transparent, and economically viable NLP pipelines that actually deliver meaningful business insights in 2026.