Articles & Tutorials
149 technical articles covering AI, Machine Learning, Cybersecurity, Data Science, and Programming. Practical guides, tutorials, and deep dives — written for developers.
24 articles · Transformers
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 Numerical Precision?
Quantization reduces model size by using lower-precision numbers (4-bit instead of 32-bit). A 7B model shrinks from 28 GB (FP32) to 3.5 GB …
Prompt Engineering vs Context Engineering
Key Takeaway Prompt engineering controls what you ask. Context engineering controls what the model sees. When a 6-token user message trigge…
What Are Tokens?
Key Takeaway Every LLM interaction has a finite context window — a fixed budget of tokens for both input and output. More context is not au…
What Are Embeddings?
Key Takeaway Embeddings convert text into numerical vectors where meaningful relationships become mathematical distances. Words with simila…
The Sequence Modeling Problem
Key Takeaway Transformers process all tokens simultaneously using self-attention — a mechanism that lets every token compute how much it sh…
The Complete Pipeline
Key Takeaway LLMs generate text one token at a time through a repeating cycle: tokenize input → compute probabilities for every possible ne…
AI → Machine Learning → Deep Learning
Key Takeaway A Large Language Model (LLM) is a neural network trained on massive text data to predict the next token in a sequence. It does…
The 20 AI Agent Projects
AI agents aren't just chatbots. They're systems that observe, plan, act, evaluate, and iterate. Building 20 progressively complex agents te…
Beginner Projects (1-5)
The best data science portfolio isn't 20 notebooks that all do the same thing. It's 20 projects that progressively build skills — from load…
The 11-Stage AI Engineer Roadmap
AI engineering in 2026 is a distinct discipline requiring Python, machine learning, deep learning, LLMs, API design, RAG, agents, MCP, eval…
The 10-Stage Data Science Roadmap
Data science in 2026 spans far beyond machine learning. A complete data scientist needs Python, statistics, SQL, visualization, ML, deep le…