Was passiert ist: 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.

Warum es zählt: 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.

Achtung: 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 · Veröffentlicht am 11. August 2026 · 3 Min. Lesezeit

In 30 Sekunden

Was passiert ist: 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.
Warum es zählt: Engineers optimizing LLM agents for cost care when building systems that learn from their own task failures to improve reliability without retraining.
Achtung: 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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