Articles & Tutorials
149 technical articles covering AI, Machine Learning, Cybersecurity, Data Science, and Programming. Practical guides, tutorials, and deep dives — written for developers.
8 articles in Cybersecurity
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 …
GGUF Explained: The Practical Guide to Local LLM Model Files
GGUF (GPT-Generated Unified Format) is the standard file format for running LLMs locally. It packages model weights, metadata, and tokenize…
LLM Quantization Explained: 4-bit vs 8-bit Models
Quantization reduces model precision to save memory and increase speed. A 7B parameter model shrinks from 28 GB (FP32) to 3.5 GB (INT4) whi…
Running LLMs on CPU: What Actually Matters?
CPU inference speed depends primarily on memory bandwidth and model size—not CPU cores. A well-quantized 7B model on a modern CPU can gener…