AI Arena

Practical guides on building with AI — agents, retrieval-augmented generation, LLMs, and the architectures that tie them together.

Building AI Agents

A hands-on series covering the full stack of AI agent development — LLM clients and chains, chunking, embeddings, RAG strategies, query transformation, agent architectures, and guardrails. 8 parts, implemented with LangChain and LangGraph.
Machine Learning Basics

A hands-on series covering the core building blocks of every ML model — linear regression, weights and biases, loss functions, gradient descent, learning rate, activation functions, and neurons. Each part includes an interactive demo you can run in your browser.