In-depth, hands-on guides on Generative AI, LLMs, RAG, AI Agents, fine-tuning, and more — written by a practitioner.
Showing 1–12 of 14 articles
A 7-step framework for designing a production-grade RAG system in 45 minutes — covers chunking, retrieval, reranking, hallucination defenses, and scaling.
A practical guide to choosing between LoRA, QLoRA, and DPO for your fine-tuning project — with VRAM math and dataset size guidelines.
Compensation ranges, what companies are actually hiring for, and the skills that moved the needle this cycle.
Skip the LangChain hello-world. This is what actually breaks when you build a working agent — and what to do about each one.
Surface-level LLM knowledge gets exposed fast. These 10 questions separate candidates who read papers from those who only watched YouTube.
A look at the Anthropic interview loop for ML/AI engineers: phone screen, take-home, on-site rounds, and what they actually evaluate.

Learn how to combine Large Language Models with advanced Google search operators to uncover exposed credentials and vulnerabilities at machine speed.

The Glasswing Threshold: How Claude Mythos and Project Glasswing are Redefining Cybersecurity

An in-depth look at how AI agents and predictive analytics are redefining the digital frontlines, featuring real-world case studies of autonomous defense.

Complete guide to choosing between RAG and Fine-Tuning for your LLM application. Real world examples, cost comparison and decision framework included.

Complete answers to the most asked Agentic AI interview questions. Covers agents, ReAct, multi-agent systems, memory and frameworks. Perfect for AI Engineer interviews.

Complete list of the best free AI tools for developers in 2026. Covers LLM APIs, RAG frameworks, coding assistants, vector databases and MLOps tools with honest reviews.