Articles & Tutorials

149 technical articles covering AI, Machine Learning, Cybersecurity, Data Science, and Programming. Practical guides, tutorials, and deep dives — written for developers.

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40 articles in AI & Machine Learning

AI & Machine Learning Code

Why Machine Learning Models Fail in Production

Key Takeaway --> ML models fail in production not because of bad algorithms, but because of the gap between training and deployment. Distr…

Machine Learning LLMs RAG
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AI & Machine Learning Code

Train, Validation and Test Sets Explained Properly

Key Takeaway --> Machine learning requires three separate datasets: training (to learn), validation (to tune), and test (to evaluate). Spl…

Python Docker Machine Learning
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AI & Machine Learning Code

Data Leakage in Machine Learning: 10 Mistakes That Destroy Your Model

Key Takeaway --> Data leakage occurs when your model accidentally uses information that wouldn't be available at prediction time. It creat…

Python Docker Machine Learning
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AI & Machine Learning Code

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…

Python Docker LLMs
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AI & Machine Learning Code

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…

Python NLP RAG
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AI & Machine Learning Code

RAG Evaluation: How to Measure Retrieval and Answer Quality

RAG evaluation requires measuring two things: retrieval quality (did we find the right information?) and generation quality (did we use it …

RAG NumPy Data Science
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AI & Machine Learning Code

Why RAG Systems Still Hallucinate

RAG doesn't eliminate hallucination — it moves the problem from the model to the retrieval layer. Understanding the 5 root causes helps you…

LLMs RAG Prompt Engineering
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AI & Machine Learning Code

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…

Python LLMs BERT
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AI & Machine Learning Code

RAG Architecture Explained: Every Component of a Retrieval-Augmented AI System

RAG (Retrieval-Augmented Generation) grounds LLM responses in your actual documents. Every component — from ingestion to citations — matter…

Python Docker LLMs
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AI & Machine Learning

Why Human-in-the-Loop Matters

Human-in-the-loop AI means AI recommends, humans decide. High-stakes decisions in healthcare, finance and education require human judgment …

Rust
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AI & Machine Learning Code

MCP vs Function Calling vs Plugins: Understanding AI Tool Integration

Key Takeaway Function calling is ideal for simple, single-vendor integrations. MCP excels at scalable, cross-model tool ecosyst…

Python LLMs GPT
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AI & Machine Learning Code

The 10GB CSV Problem

A 16GB RAM laptop is not a limitation—it's an invitation to write better code. By optimizing data types, selecting only needed columns, pro…

Python Machine Learning Linux
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