Articles & Tutorials
149 technical articles covering AI, Machine Learning, Cybersecurity, Data Science, and Programming. Practical guides, tutorials, and deep dives — written for developers.
10 articles in AI & Machine Learning · Transformers
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 …
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…
Build a Research Paper RAG System
Research paper RAG requires special handling: section-aware chunking, metadata extraction, and citation tracking. This article provides a c…
Hybrid Search: Combining BM25 and Vector Search
BM25 finds exact keyword matches. Vector search finds semantic meaning. Hybrid search combines both, typically improving precision by 15-25…
Reranking in RAG: Why Vector Search Alone Is Not Enough
Vector search (bi-encoders) is fast but approximate. Reranking (cross-encoders) is slow but precise. The two-stage approach — retrieve with…
What Is an Embedding?
Embeddings transform text into numerical vectors that capture meaning. Semantically similar texts produce vectors that are close together i…