Knowledge
Master the foundational concepts of artificial intelligence to work more effectively with AI.
Index
14- Must read
Everything you need to know about MCP
The Model Context Protocol (MCP) is an open standard connecting AI models to data and tools, replacing custom integrations with a universal 'USB-C' interface.
Tuan Tran Van 
Explaining Agent Plugins: What They Are and How They're Used
An agent plugin is a distributable package that bundles AI skills and tools into installable units to prevent configuration drift across AI platforms.
Tuan Tran Van
AI Agent Hooks: Deterministic Control for Coding Agents
AI agent hooks give coding agents like Claude Code deterministic control and observability by intercepting JSON events in the execution loop.
Tuan Tran Van- Must read
What Is an AI Agent? Components, Loop, and Types
An AI agent is an autonomous system using LLMs to reason, plan, and execute multi-step tasks independently to achieve high-level goals.
Tuan Tran Van - Must read
AI Models Explained
AI models are mathematical systems trained on data to recognize patterns. Learn about their internal architecture, training phases, and functional tiers.
Tuan Tran Van 
What is RAG? Optimizing LLMs for Enterprise AI Systems
Optimize LLM accuracy using RAG to connect models with authoritative knowledge bases, reducing hallucinations and eliminating static training cutoffs.
Tuan Tran Van- Must read
Understanding and Managing the LLM Context Window
How the context window works as an LLM's working memory, why quadratic scaling makes it costly, and how to prevent context rot and hallucinations.
Tuan Tran Van 
What is Deep Learning?
Deep learning uses multilayered neural networks to automate feature extraction from raw data, enabling state-of-the-art results in computer vision and AI.
Tuan Tran Van- Must read
Artificial Intelligence: History, Machine Learning, and AI Agents
Artificial Intelligence lets machines simulate human learning and reasoning. A guide to its history, machine learning, generative models, and AI agents.
Tuan Tran Van - Must read
What is generative AI? Models, mechanics, and real limits
Generative AI creates new text, images, and code by learning probability distributions from massive datasets — its models, mechanics, and real limits.
Tuan Tran Van - Must read
What Are Large Language Models (LLMs)? How They Work
Large Language Models predict the next token from statistical patterns. How LLMs learn, the three-stage training pipeline, and why they still hallucinate.
Tuan Tran Van 
What Is Machine Learning? Types, Algorithms, and Optimization
Machine learning lets computers learn from data, not fixed rules. A guide to supervised, unsupervised, and reinforcement learning and core algorithms.
Tuan Tran Van- Must read
AI Tokens and Context Windows: A Practical Guide
AI tokens are the smallest units a language model reads and writes, and the context window is the memory limit that decides how much it can hold at once.
Tuan Tran Van 
What is NLP? Natural Language Processing Explained
NLP lets machines read and generate human language, closing the gap between binary code and messy, unstructured text using deep learning models.
Tuan Tran Van