{"slug": "ai-basics-you-must-understand-before-building-ai-agent", "title": "AI Basics You MUST Understand Before Building AI Agent", "summary": "Developers should understand foundational AI concepts like LLMs, tokens, context windows, embeddings, RAG, and APIs before building AI agents. It describes how LLMs predict text by splitting input into tokens, use context windows as short-term memory, and convert text into numerical embeddings for similarity. The tutorial emphasizes that mastering these basics makes advanced AI agent frameworks easier to learn and implement.", "body_md": "Many developers are jumping directly into AI agent frameworks like:\nBut without understanding the foundations first, things quickly become confusing.\nConcepts like:\nare the real building blocks behind modern AI systems.\nSo in this tutorial, I simplified the core AI concepts every beginner should understand before building AI agents.\nLLM stands for Large Language Model.\nModels like ChatGPT, Claude, and Gemini are all LLMs trained on massive amounts of text.\nThey learn language patterns and predict likely next words.\nExample:\nInput:\n“The sky is…”\nPrediction:\n“blue”\nModern AI agents use LLMs as their reasoning engine.\nAI models do not process text exactly like humans.\nInstead, text is split into smaller units called tokens.\nExample:\n“AI agents are powerful”\nCould become:\nEvery model has token limits, which affect:\nA context window is the amount of information an AI model can process at one time.\nThink of it like short-term memory.\nIf conversations become too long, older information may disappear from context.\nThis is why memory systems are important in AI agents.\nEmbeddings convert text into numerical representations.\nThe key idea:\nsimilar meanings become mathematically close together.\nExample:\nDifferent words…\nsimilar meaning.\nEmbeddings power:\nRAG stands for Retrieval-Augmented Generation.\nInstead of relying only on training data, the AI can retrieve external information before answering.\nExample:\nThis is how many modern AI assistants work.\nAPIs allow systems to communicate.\nAI agents constantly use APIs for:\nUnderstanding APIs is essential for AI engineering.\nModern AI agents combine all these systems together:\nUnderstanding the fundamentals makes advanced frameworks much easier to learn.\nI also created:\n📺 Video:\nhttps://youtu.be/y8DOp4SAT5g?si=qZm7QpA5qEA_kfGp\n💻 GitHub:\nhttps://github.com/yisakberhanu/ai-agents-course\nWould love feedback from other developers building AI systems.", "url": "https://wpnews.pro/news/ai-basics-you-must-understand-before-building-ai-agent", "canonical_source": "https://dev.to/yisakberhanu/ai-basics-you-must-understand-before-building-ai-agent-2oid", "published_at": "2026-05-21 22:55:00+00:00", "updated_at": "2026-05-21 23:33:23.311134+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "developer-tools"], "entities": ["ChatGPT", "Claude", "Gemini"], "alternates": {"html": "https://wpnews.pro/news/ai-basics-you-must-understand-before-building-ai-agent", "markdown": "https://wpnews.pro/news/ai-basics-you-must-understand-before-building-ai-agent.md", "text": "https://wpnews.pro/news/ai-basics-you-must-understand-before-building-ai-agent.txt", "jsonld": "https://wpnews.pro/news/ai-basics-you-must-understand-before-building-ai-agent.jsonld"}}