Technical Insights
A complete collection of articles on AI engineering, TypeScript, and modern development.
AIPython
Deep Learning 101: From Foundations to Real-World Applications
A deep dive into Deep learning for AI engineers.
AIPython
Machine Learning Models 101: From Theory to Practice
A deep dive into Machine Learning Models for AI engineers.
AIPython
Cosine Search and Cosine Distance in RAG: The Foundation of Semantic Retrieval
A deep dive into Cosine Search and Cosine Distance in RAG for AI engineers.
AIPython
Hybrid Retrieval and Semantic Search in RAG: Building Smarter Document Search Systems
A deep dive into Hybrid Retrieval and Semantic Search in RAG for AI engineers.
AIPython
LangChain & Chain-of-Thought Reasoning: Building Smarter AI Applications
A deep dive into LangChain for AI engineers.
RAGVector Databases
How RAG Works with Vector Databases: A Deep Dive into Modern AI Retrieval Systems
Discover how Retrieval-Augmented Generation combines vector databases with LLMs to build AI systems that can access and reason about external knowledge.
PythonAI
AI Engineering 101: Deep Dive into Neural Networks — Building Layers of Intelligence
Learn what neural networks are, how they are built from layers of neurons, and how they learn using forward propagation, loss, and backpropagation — the core engine behind modern AI.
PythonAI
What Is an LLM and How Does It Work?
Understand what Large Language Models are, how they are trained, and how they generate human-like text using transformers, attention, and massive datasets.
PythonAI
Understanding Embeddings — How AI Understands Language
Embeddings convert text into vectors so AI can measure meaning using math. Learn what embeddings are, why similarity search works, and how embeddings power RAG, chatbots, and modern LLM applications.
PythonAI
Linear Regression from Scratch — How Models Learn Relationships
Learn linear regression from the ground up using the y = mx + b equation. Build a simple model in Python, understand loss, gradients, and how training updates weights to learn relationships from data.
PythonAIDeep Learning
Inside the Black Box: The 5-Step Training Loop
How do AI models actually learn? We break down the 5-step cycle from Forward Pass to Weight Update.
PythonMathAINumPy
AI Engineering 101: The Mathematical Language — Vectors and Matrices
Learn how Linear Algebra powers modern AI and what actually happens inside the scikit-learn predict function.