🚀 驯服智能体混乱? 论文揭示NLAH:用可执行自然语言替代刚性代码框架。 ✅ 性能与代码持平,token减少95%(60k→2.9k) ✅ 模块化设计实现精准价值归因 ✅ 识别“负资产”如多候选搜索 从胶水代码转向科学策略。 💡https://int.alibabacloud.com/m/1000414388/ #AgentHarness #NLAH #LLMEngineering
🚀 Taming Agent Chaos? Paper reveals NLAH: Replace rigid code harnesses with executable natural language. ✅ Performance matches code, tokens drop 95% (60k→2.9k) ✅ Modular design enables precise value attribution ✅ Identifies "negative assets" like multi-candidate search Shift from glue code to scientific strategy. 💡https://int.alibabacloud.com/m/1000414388/ #AgentHarness #NLAH #LLMEngineering