Skip to content
Back to the public prompt library
Working With AI ToolsWorking With AI Tools14 min lesson

How LLMs Actually Work — For Non-ML People

Understand tokens, context windows, attention, and temperature without a single equation.

llmtokenscontext-windowattentiontemperatureai-fundamentals
Copy-ready prompt
"Explain this model behavior in practical coding terms:
- why the output changed between runs
- why context seems to fade in a long conversation
- how I should structure prompts for better focus

Use tokens, context windows, attention, and temperature in the explanation, but keep it tied to real development workflows."

Prompt FAQ

Questions to answer before you paste it

When should I use the How LLMs Actually Work — For Non-ML People prompt?

Understand tokens, context windows, attention, and temperature without a single equation. Use it when you need a safer starting point than a blank prompt and you want the agent to stay inside explicit constraints.

Should I paste this prompt exactly as written?

No. Treat it as a safe starter. Replace the task, files, constraints, and verification details with your actual context before you run it.

What should I do after the agent answers?

Read the diff, run the checks, and stop after one reviewable step. If you need deeper context, open the lesson that explains the reasoning behind the prompt.

Related prompts worth copying next

Working With AI Tools

API Keys, Rate Limits, and Cost Management

Understand AI API pricing, rate limits, budgets, and how to monitor and control your AI spending.

Open prompt page
Working With AI Tools

Bolt.new and Lovable — Instant Full-Stack Apps

Build complete web applications from a text prompt with Bolt.new and Lovable.

Open prompt page
Working With AI Tools

Breaking Big Ideas into Small Tasks — The Decomposition Pattern

Learn why small, focused prompts produce better code than trying to build everything at once.

Open prompt page