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Dechive

Posted on • Originally published at dechive.dev

Prompt Guide #1: How LLMs Actually Think (And Why It Changes Everything)

Most people treat prompting like talking to a person.

That's the wrong mental model.

LLMs don't "understand" you — they predict the next

token based on probability. Once you internalize this,
everything about prompting changes.

The Core Mechanic: Next Token Prediction

Every word you get back is a statistical calculation.

The model asks: "Given everything before this, what
word comes next?"

That's it. No reasoning. No understanding. Pure
probability.

Why This Matters for Your Prompts

Temperature controls how "creative" that

probability is:

  • Low (0.1–0.3) → consistent, deterministic
  • High (0.7–1.5) → creative, but hallucinates more

Attention is where most people lose — the model

distributes focus unevenly. Put your critical info at
the start or end of your prompt, not buried in the

middle.

The Takeaway

Prompting isn't magic. It's knowledge design —

structuring information so the model's probability
engine points where you want it to go.

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