Simulation run on this device. Scenario values are not sent anywhere — the engine is fully local.
ai simulation · free
Sampling Playground
Shape a mock next-token distribution and sample from it live.
Greedy, top-k, top-p, temperature — what changes first?
Engine 1.0.0 · simulation
0.8
Sharpens or flattens the distribution.
0.9
864
Mock next-token candidates.
- Full entropy
- 3.55 bits
- Nucleus entropy
- 3.06 bits
- Nucleus size
- 14 / 24
- Top token mass
- 35.5%tok#0
Warmer + wide nucleus spreads mass — good for ideation, riskier for facts.
#1 tok0 p=35.5%
#2 tok1 p=16.6%
#3 tok2 p=10.4%
#4 tok3 p=7.4%
#5 tok4 p=5.7%
#6 tok5 p=4.6%
#7 tok6 p=3.8%
#8 tok7 p=3.2%
Method
- Toy Zipf logits over a vocab slice; temperature rescales logits, top-p keeps a nucleus, then entropy and top-mass update live.
- Teaching approximation of sampling dynamics — not a real tokenizer or model forward pass.