Nov '25 • Tips💡
Verbalized Sampling: The Shortcut to More Creative AI Output
Hello everyone!
I hope your week is starting well.
A little while ago, I mentioned that I was experimenting with a prompt-engineering technique called Verbalized Sampling. Here’s a quick, simple explanation.
Verbalized Sampling (VS) is a training-free method that pushes AI to reveal several possible answers with probability scores, instead of giving one safe, generic reply. By asking the model to “show its distribution,” you unlock ideas it normally hides—especially the more creative, low-probability ones.
👉 Why this matters:
Most prompts drive the AI toward the most predictable answer (mode collapse). VS lets you see the full range—from standard to unconventional—so you can choose better, sharper, or more original insights.
🌟Advanced Version of VS
I’ve also included an advanced version called Tail Sampling, which focuses specifically on the rare answers (the “probability < X%” zone) for those who want more contrarian or breakthrough ideas.
I uploaded a short guide with examples and use cases.
If anything is unclear or you’d like more demonstrations, just let me know! I’m happy to dig deeper.
If you try this, let me know how it went. Have fun with it!
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Verbalized Sampling: The Shortcut to More Creative AI Output
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