RESOURCES
Get to know
the experiment.
Explore the workflow, understand the demo’s scope, and find answers before entering the lab.
Inside the agent team.
Explore the three specialists, the arbiter, and the evidence behind each decision.
Read the product guide ↗WORKFLOW GUIDEFrom tuning to sharing.
See how individual optimization connects to a joint trial on shared hardware.
Explore the workflows ↗INTERACTIVE WALKTHROUGHFollow the decisions.
Sign in to explore the lab’s illustrative experiment replay.
Enter the lab ↗A FEW USEFUL DETAILS
Before you
enter the lab.
Do I need a GPU to try the demo?
No. The project’s default experiment uses a simulator and requires no GPU or API key. This website currently opens an interactive design walkthrough.
Are the results hardware benchmarks?
Simulator results describe the modeled experiment, not measured performance on a physical GPU. The project records the trial substrate so simulated and measured results can be distinguished.
Does Sera always recommend sharing?
No. A memory fit is followed by a joint trial. Each model must pass its own performance and quality gates; a failed gate can lead to a revert.
What makes this different from a parameter sweep?
Sera connects individual tuning to consolidation, records specialist predictions, and routes new constraints back into the loop. The current project does not claim better trial efficiency than random search.
SEE THE LOOP IN ACTION