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Learn & explore · FIELD GUIDE 048

What Top-k Changes in AI

See how Transformer Explainer’s built-in example changes when top-k drops from five to one at temperature 0.8. The remaining token’s 100% filtered probability does not indicate factual certainty. Explore the free interactive tool: https://poloclub.github.io/transformer-explainer/

Transformer Explainer: Interactive top-k token filtering
From the channel’s Transformer Explainer reel.

The useful part

Transformer Explainer is featured here for one specific job: interactive top-k token filtering. This guide focuses on that workflow so you can decide whether it fits your task before trying it.

THE JOB TO BE DONE

Interactive top-k token filtering

What happened in the demo

See it in Transformer Explainer. Here’s the built-in example: Data visualization empowers users to. Keep temperature at point eight. With top-k at five, five candidates remain. Change it to one. Now visualize is the only retained candidate, with one hundred percent of the filtered probability. That means one option remains; it doesn’t mean factual certainty.

The example used in the reel

A small, specific input makes the result easier to inspect. Use the example below to understand the scope of the recorded workflow; it is not a promise that a new run will produce an identical result.

Use the built-in example Data visualization empowers users to, keep temperature at 0.8, and change top-k from 5 to 1.

Try it yourself

  1. Enter the short prompt in the explainer
  2. Inspect the next-token probabilities
  3. Change top-k and compare the allowed candidates

Start with material you own or have permission to use. Save the original and compare it with the output before moving the result into a real project. If the interface has changed, follow the current official instructions linked below.

What to check before using the result

Top-k restricts the candidate set. It does not by itself ensure a truthful or useful completion.

Keep the task narrow on your first attempt. Check the details that matter to your use case rather than judging only whether the result looks polished. A successful short example is a useful introduction, not a benchmark of the whole product.

Access, free demos & limits

The public interactive example is accessible without payment or sign-in, confirmed on 2026-10-27. This demonstration only adjusts the built-in example’s sampling controls; it requires no installation, upload, or Generate action.

Availability notes refer to the dated demonstration or source check. Features, limits and sign-in requirements can change. Check the official site before starting a larger project.

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Sources & context

This guide expands the channel’s recorded example and the official sources checked for that reel. Generated results are examples, not endorsements or guarantees. Read our editorial policy.