本期节目,我们将深入探讨“智能体上下文工程(Agentic Context Engineering, ACE)”这一创新框架,了解它如何通过演进式上下文,帮助大型语言模型(LLM)实现更高效、更可靠的自我学习和适应。我们将讨论现有方法的局限性,ACE框架的设计理念,以及它在智能体和特定领域任务中取得的显著成效,包括性能提升、成本降低等。
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