AI Glossary: Every AI Term Explained Simply (2026)
Bookmark this page — a jargon-free guide to every AI term you need to know.
AI (Artificial Intelligence): Software that can perform tasks that normally require human intelligence — writing, coding, analysis, conversation.
LLM (Large Language Model): The technology behind ChatGPT and Claude. Trained on massive text datasets to understand and generate human-like text.
Prompt: Your instruction to an AI tool. Better prompts = better results. See our prompt engineering guide.
Context Window: How much text an AI can process at once. Claude: 200K tokens (~500 pages). ChatGPT: 128K tokens (~300 pages).
Token: A unit of text (~4 characters or ~0.75 words). Used for pricing and limits.
Fine-tuning: Training an AI model on your specific data to improve performance for your use case.
Hallucination: When AI generates plausible-sounding but incorrect information. Always verify important facts.
RAG (Retrieval-Augmented Generation): AI that searches a knowledge base before answering, reducing hallucinations.
API: How developers connect AI to their own software. Pay per use, no subscription.
Agent: An AI that can plan and execute multi-step tasks autonomously, not just answer questions.
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