🚀 驯服智能体混乱? 论文揭示NLAH:用可执行自然语言替代僵硬的代码框架。 ✅ 性能媲美代码,模型token降低95%(60k→2.9k) ✅ 模块化设计实现精确的价值归因 ✅ 识别“负面资产”,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