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LLMs aren't always necessary: simple text embeddings in numerical bandits can match or beat LLM-based contextual bandits at a fraction of the cost.
LLMs can evolve surprisingly effective, interpretable Python planners that rival state-of-the-art classical planners, at a fraction of the computational cost.
