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Learn & explore · FIELD GUIDE 045

How AI Picks Its Next Token

Explore Softmax and Output in Brendan Bycroft’s free LLM Visualization. This tiny GPT-style model walkthrough explains how scores become probabilities and how next-token sampling works.

LLM Visualization: Interactive Softmax and Output walkthrough
From the channel’s LLM Visualization reel.

The useful part

LLM Visualization is featured here for one specific job: interactive Softmax and Output walkthrough. This guide focuses on that workflow so you can decide whether it fits your task before trying it.

THE JOB TO BE DONE

Interactive Softmax and Output walkthrough

What happened in the demo

Open LLM Visualization and choose Softmax, then continue to Output. This free walkthrough uses a tiny GPT-style model built around sorting letters. Watch the diagram move through the corresponding stages. Softmax turns model scores into probabilities. The Output chapter explains sampling a next token from those probabilities. Make an abstract AI concept easier to picture!

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.

Open the free interactive GPT-style model walkthrough, select the Softmax chapter, then continue to Output to inspect the corresponding network stages.

Try it yourself

  1. Open the language-model visualization
  2. Follow the token-generation path
  3. Explore how the next-token scores are presented

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

This is a simplified educational view, not a promise about the internal behavior of every language model.

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, open-source browser walkthrough is free to access without an account or payment. A WebGL2-capable browser is required. The recorded example confirms the Softmax-to-Output demonstration worked; no paid service is needed.

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.

Visit LLM Visualization ↗

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.