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'Framework and code to systematically compare Direct, CoT, ReAct and Reflexion agent strategies across tasks, metrics and visual analysis.'
'ACE' upgrades LLMs by incrementally editing a persistent context playbook rather than fine-tuning; it yields notable accuracy gains and 80–90% reductions in adaptation latency on agent and finance benchmarks.
Tool-augmented AI agents enhance language models by integrating reasoning, memory, and autonomous capabilities, enabling smarter and more reliable AI systems.