发生了什么: Thinking of ACE? We Can Do It with Fewer Tokens

IBM researchers show ALTK-Evolve achieves comparable or better accuracy than ACE while using 40-86% fewer tokens by selectively delivering learned guidelines instead of injecting all of them.

为何重要: Thinking of ACE? We Can Do It with Fewer Tokens

Engineers optimizing LLM agents for cost care when building systems that learn from their own task failures to improve reliability without retraining.

注意: Thinking of ACE? We Can Do It with Fewer Tokens

Results are on AppWorld benchmark with specific base models; token savings depend heavily on model capability and task difficulty, requiring per-deployment tuning.

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Thinking of ACE? We Can Do It with Fewer Tokens

Hugging Face · 发布于 2026年8月11日 · 阅读约3分钟

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发生了什么: IBM researchers show ALTK-Evolve achieves comparable or better accuracy than ACE while using 40-86% fewer tokens by selectively delivering learned guidelines instead of injecting all of them.
为何重要: Engineers optimizing LLM agents for cost care when building systems that learn from their own task failures to improve reliability without retraining.
注意: Results are on AppWorld benchmark with specific base models; token savings depend heavily on model capability and task difficulty, requiring per-deployment tuning.

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