AI Fundamentals Explained: How LLMs Convert Your Prompt Into a Response

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A new educational series on DEV Community breaks down the core concepts behind large language models (LLMs) for software developers building AI-powered applications. The series uses a practical Travel Planner app as a running example to explain how a user's text prompt is processed before any response is generated. A key insight is that LLMs do not retrieve pre-stored answers but instead dynamically predict the next token based on learned language patterns. Before any prediction occurs, raw text is broken into tokens — small units of text represented as numbers — which is why API pricing and context limits are measured in tokens rather than words. Understanding these fundamentals helps developers make better design decisions and troubleshoot unexpected model behavior.

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