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Optimal LLM pretraining actually requires *overtraining* when you account for inference costs, overturning conventional scaling wisdom.
SkillOrchestra slashes the learning costs of AI agent orchestration by up to 700x while improving performance by explicitly modeling agent skills and costs, offering a more scalable and interpretable alternative to RL-based methods.