3 docs tagged with "AI Basics"

No math and no code. Everyday analogies that explain how large language models work, why they get things wrong, and what terms like "token" and "context" actually mean.

Understand how large language models are trained and generate text through the analogy of a "master of finishing sentences," and make sense of terms like token, context window, temperature, and reasoning model.

What AI hallucinations are, why they happen, which situations carry the highest risk, and a fact-checking routine you can run in 30 seconds.