Next-Token Probability Predictor
Educational autoregressive next-token predictor showing vocabulary probability distributions and candidate ranking.
Concept Breakdown: How Language Models Sample & Select Tokens
At Temperature 0.1, you always pick vanilla. It is safe and predictable. At Temperature 1.5, you randomly pick chili-mango or bubblegum. High temperature makes AI creative; low temperature makes it factual.
Top-K says: "Only consider the top K contenders". If K=3, the AI throws away all other candidates and only chooses between the 3 frontrunners, preventing weird typos or nonsense words.
Top-P (Nucleus) adds probabilities until reaching P (e.g. 90%). If the model is 95% certain about one word, it picks that word immediately. If uncertain, it widens the net to include several good alternatives.
Quick Reference & Instructions
Simple steps, pro tips, and execution details
Provide Inputs
Type, paste, or select your values in the form fields below.
Instant Live Analysis
Calculations and formatting happen automatically with zero delay as you type.
Copy or Use Output
Copy results or apply the clean output directly to your projects.
How It Works
Simulates the final linear projection layer of an LLM, generating top candidate tokens with live probability percentages.
Frequently Asked Questions
Common questions about calculations, assumptions, and edge cases.
Yes, Next-Token Probability Predictor is 100% free with unlimited calculations and zero paywalls or subscriptions.
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