Japan To Build Global Hubs For AI Robotics Research - themorningnews.com
Japan To Build Global Hubs For AI Robotics Research themorningnews.com
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japanglobalresearch![[R] Is autoresearch really better than classic hyperparameter tuning?](https://d2xsxph8kpxj0f.cloudfront.net/310419663032563854/konzwo8nGf8Z4uZsMefwMr/default-img-robot-hand-JvPW6jsLFTCtkgtb97Kys5.webp)
[R] Is autoresearch really better than classic hyperparameter tuning?
We did experiments comparing Optuna autoresearch. Autoresearch converges faster, is more cost-efficient, and even generalizes better. Experiments were done on NanoChat: we let Claude define Optuna’s search space to align the priors between methods. Both optimization methods were run three times. Autoresearch is far more sample-efficient on average In 5 min training setting, LLM tokens cost as much as GPUs, but despite a 2× higher per-step cost, AutoResearch still comes out ahead across all cost budgets: What’s more, the solution found by autoresearch generalizes better than Optuna’s. We gave the best solutions more training time; the absolute score gap widens, and the statistical significance becomes stronger: An important contributor to autoresearch’s capability is that it searches direct
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