
DETERMINISTIC INFERENCE
Run the same prompt. OpenAI produces varied responses, while EigenAI returns a seed-controlled response you can reproduce and verify any time.
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Run a comparison
Compare OpenAI non-deterministic inference with EigenAI deterministic inference.
Awaiting run
Repeated calls vary because sampling, hardware, and load can influence outputs.
OpenAI responses illustrate typical model variance across repeated calls with the same prompt.
Call the API multiple times and you'll see subtle differences in tone, ordering, and wording even with temperature 1.
Awaiting run
Identical inputs yield identical outputs. Change the seed to explore controlled variation.
EigenAI produces bit-for-bit identical outputs for matching prompts, parameters, and seed.
Inference is reproducible across hardware and time, and anyone can verify both prompt and response integrity with EigenAI's audit trail.
Awaiting run
Demonstrates how random seeds produce distinct but reproducible outputs.
On run, we derive a numeric seed from a UUID to prompt EigenAI, highlighting how seed changes shape the response.
Capture the seed to reproduce the random output or trigger the run again for a fresh variant.