Articles & Tutorials
149 technical articles covering AI, Machine Learning, Cybersecurity, Data Science, and Programming. Practical guides, tutorials, and deep dives — written for developers.
76 articles in Cybersecurity · Python
GGUF Explained: The Practical Model Format Behind Modern Local AI
GGUF (GPT-Generated Unified Format) is the standard file format for storing quantized large language models locally. It packages model weig…
What Is LM Studio?
LM Studio is a desktop application that makes local AI as easy as downloading an app. Browse models visually, download with one click, chat…
What Is llama.cpp?
llama.cpp is a plain C/C++ inference engine that runs LLMs on CPU without any dependencies. It is the foundation behind most local AI tools…
What Is Ollama?
Ollama is the easiest way to run local AI models on your computer. One command downloads a model. Another command starts chatting. No API k…
What Is Local AI?
Local AI means running AI models on your own computer — no internet, no API costs, no data leaving your machine. You need at least 8GB RAM …
The 15 AI Security Domains
AI security is not one problem — it is 15 interconnected domains. From prompt injection to sandboxing, each requires specific defenses. Thi…
Single-Agent vs Multi-Agent: The Core Difference
Multi-agent systems split complex tasks across specialized agents — planner, researcher, coder, tester, reviewer — each doing one thing wel…
The Five Types of Agent Memory
AI agents need different types of memory for different purposes. Conversation history remembers what was said, working memory tracks the cu…
Why the Agent Loop Matters
KEY TAKEAWAY --> An AI agent loop is a repeating cycle: Plan → Act → Observe → Evaluate → Decide (repeat or finish). This is the fundame…
The Core Principle
Key Takeaway --> 🎯 Key Takeaway AI coding agents are powerful tools, but they need guardrails. Before running any agent: create a feature…
The Four Stages
Key Takeaway --> 🎯 Key Takeaway AI coding tools evolved through four stages: autocomplete finishes your lines, chat answers questions, as…
Why RAG Exists: The Hallucination Problem
RAG combines document retrieval with LLM generation. Instead of asking the model to "remember" everything, you search your documents first,…