近年来，基于大语言模型的多智能体系统（LLM-based Multi-Agent Systems, MAS）被广泛用于复杂推理任务。典型做法是让多个 agent 独立生成并通过投票或辩论等机制聚合决策，从而在算术推理、常识推断与专业问答中提升准确率。 随着 test-time compute（推理时计算）成为 ...

Let's break down the approach I've found to be essential for scaling a multi-agentic foundation in the enterprise.​ ...

LangGraph has been used to create a multi-agent large language model (LLM) coding framework. This framework is designed to automate various software development tasks, including coding, testing, and ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

Utility of the PROSTest, a novel blood-based molecular assay, versus PSA for prostate cancer stratification and detection of higher grade disease. Insight into the global mortality trends due to ...

Researchers at Google and MIT have conducted a comprehensive analysis of agentic systems and the dynamics between the number of agents, coordination structure, model capability, and task properties.

Shopsense AI has unveiled its “Multi-Agent System,” which the company described as “an industry-first Agentic AI system that automates content monetization at scale.” The company said broadcasters and ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...