Stop wasting budget on heavy LLMs for simple tasks. Ahmad Wael explains why GliNER2 is the pragmatic choice for structured data extraction. Learn how to handle entity recognition and relationship mapping on a CPU without the high costs or latency of major AI APIs. Get the right tool for the job.
Stop making excuses for poor model performance. Learn how to handle covariance shift using Inverse Probability Weighting (IPW). Senior dev Ahmad Wael explains how to re-weight your validation data to match real-world production distributions, ensuring your machine learning models stay accurate even when user demographics shift unexpectedly. No more apples-to-oranges comparisons.
Is your machine learning model struggling with time-based predictions? Learn how cyclical feature encoding uses Sine and Cosine transformations to fix the “midnight paradox.” Stop treating time like a straight line and start mapping it to a circle to preserve proximity and improve model accuracy for WooCommerce and data-heavy WordPress sites.
Stop wasting your server’s multi-core power. Learn how to master Distributed Computing with Ray to scale your Python scripts from one core to sixty-four with minimal code changes. Ahmad Wael shares a real-world story of fixing a client’s slow data pipeline and why Ray is the pragmatic choice over standard multiprocessing.
Stop wasting time on prompt engineering that fails. Ahmad Wael explains why Agentic AI workflows require a graph-based architecture to succeed. Learn how to use IntelliNode and Vibe Agents to turn high-level intent into executable, observable task sequences that prevent hallucinations and scale across enterprise systems. Build smarter, not harder.
Stop wasting time over-tuning XGBoost on small datasets. Senior developer Ahmad Wael explains why using a Tabular Foundation Model like TabPFN is the pragmatic choice for messy, small-scale data. Learn how in-context learning provides better accuracy than traditional machine learning for typical WordPress and WooCommerce data challenges without the overfitting nightmare.
Stop the nightmare of inconsistent AI results. Learn how a Senior WordPress developer uses Custom AI Assistants to codify expertise, save hours on WooCommerce support, and ensure team-wide consistency. Discover the MATCH framework for turning messy prompts into reliable, shared technical partners that actually understand your coding standards and constraints.
Tired of your object detection model missing small objects? Senior dev Ahmad Wael breaks down how to Master YOLOv1 Loss Function implementation. Learn why standard MSE fails, how to use square root scaling for bounding boxes, and see a practical PyTorch implementation for reliable machine learning results.
Struggling with AI hallucinations in your applications? Senior developer Ahmad Wael dives into the Prompt Engineering vs RAG debate, sharing a real-world story of resume-editing gone wrong. Learn why groundedness matters and how to build AI tools that prioritize truth over eloquent lies using Azure and vector indexing.
Stop building fragile AI demos. I’ll show you how to use Nvidia’s NeMo Agent Toolkit to build reliable, production-ready LLM agents. Learn to solve ‘day 2’ problems like observability and deployment for your AI projects. Get your integrations working without hallucinations or timeouts.