Articles & Tutorials
149 technical articles covering AI, Machine Learning, Cybersecurity, Data Science, and Programming. Practical guides, tutorials, and deep dives — written for developers.
40 articles in AI & Machine Learning
Local AI on a 16GB RAM Laptop: Practical Models, Settings and Optimization
With 16GB RAM and the right model selection, you can run useful local AI for chat, coding, summarization and document Q&A — entirely on you…
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 …
The 7-Step Debugging Process
Debugging an AI agent means tracing through 7 stages: Prompt → Context → Tool Selection → Tool Execution → Tool Result → State Update → Mod…
Why Traditional Logs Are Not Enough
AI agents execute tool loops, make multiple model calls, and change state across iterations. Traditional application logs that record "task…
The 8 Dimensions of AI Evaluation
Evaluating an AI system requires more than checking if the answer "looks right." You need 8 dimensions: accuracy, task success, hallucinati…
Free-Form vs Structured Output
Key Takeaway --> 🎯 Key Takeaway LLMs produce free-form text by default. To build reliable applications, you need structured output: valid…
Why "Looks Good" Is Never Enough
Key Takeaway --> 🎯 Key Takeaway Evaluating a RAG system requires measuring retrieval quality, answer faithfulness, and system performance…
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…
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…