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
Feature Engineering in the Age of AI
Key Takeaway --> Classical feature engineering uses domain expertise to create interpretable features. Embeddings capture semantic meaning…
Build a Private Course Assistant with RAG
A course assistant needs more than just RAG — it needs access control (students see only their course), citation tracking (answers linked t…
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…
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…
AI Agent Supply-Chain Security: Protecting Models, Tools, Skills and Dependencies
Key Takeaway AI agents depend on a complex supply chain of models, packages, MCP servers, skills, plugins, repositories, and co…
Why Build a Private RAG System?
Key Takeaway --> 🔑 KEY TAKEAWAY
Keyword Search vs Semantic Search
Semantic search finds documents by meaning, not just keywords. By building a search engine from scratch — embedding documents, computing co…
What Is an Embedding?
Embeddings transform text into numerical vectors that capture meaning. Semantically similar texts produce vectors that are close together i…
What Is a Vector?
Key Takeaway You do not need a GPU, a vector database, or a heavy AI framework to understand and build vector search. A small private vecto…
Can AI Really Run Without a GPU?
You don't need a GPU or a cloud API to start working with modern AI. A consumer CPU, sufficient RAM, an efficient inference runtime, and ca…