Learn from in-depth articles
Weekly articles on AI, ML, Python, LangChain and the latest in the AI ecosystem — written by a practising AI engineer.
Getting Started with LangChain in 2025
Learn how to build your first LLM-powered application using LangChain. We cover chains, prompts, memory, and a real-world RAG pipeline from scratch.
PyTorch vs TensorFlow in 2025 — Which Should You Learn?
A detailed comparison of PyTorch and TensorFlow for deep learning in 2025. We look at adoption, job market, ease of use, and production readiness.
Building Multi-Agent Systems with LangGraph
Step-by-step guide to building stateful multi-agent workflows with LangGraph. Covers graph nodes, edges, state management, and human-in-the-loop patterns.
Python Skills Every AI Engineer Must Know in 2025
Beyond basic Python — the advanced concepts AI engineers use daily. Covers decorators, generators, async/await, dataclasses, and working with APIs.
MCP — Model Context Protocol Explained Simply
What is Model Context Protocol and why is every AI engineer talking about it? We break down MCP servers, tools, and how to build your first MCP integration.