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Inside an LLM
Top-P Sampling
Top-P controls how many likely next words the AI is allowed to choose from.
This is a simple learning demo using predefined word probabilities, not a real AI model.
Interactive Playground
0.90
0.1
Narrow 0.5
Moderate 1.0
All words
Narrow 0.5
Moderate 1.0
All words
Sentence So Far
Your sentence will grow here…
Last chosen:
Words added: 0
Live Visualization
Cumulative Probability
0%
Top-P cutoff: 90%
100%
Word Probabilities
InAllowed
OutExcluded
💡
Key Takeaway
Top-P limits the AI to a group of likely words, helping control randomness while still allowing variety.
A low Top-P (e.g. 0.3) means only the top 1-2 words are available. A high Top-P (e.g. 0.95) opens up many more options. Most AI systems use 0.9 by default.