在深入具体的参数调节之前，我们需要先站在更高的战略视角，理解在概率链 中，究竟是哪些核心机制在驱动系统的运转。研究者认为Agent优化空间的这三个核心维度是依次递进的：提示工程、上下文工程和推理算法。

Disturbance exists everywhere in most real networks and systems, and in most cases, has a negative effect on system performance. Disturbance can be modeled from environmental interference, measurement ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. Multi-agent AI is rapidly gaining traction, and one big ...

This weekend Open AI has introduced Swarm a “educational framework exploring ergonomic, lightweight multi-agent orchestration“. Evening developers to use the experimental sample framework to build ...

Tech industry visionaries foresee a fundamental shift in network intelligence. Microsoft CEO Satya Nadella envisions humans collaborating with AI agent swarms, while Nvidia CEO Jensen Huang projects a ...

When I first started working with multi-agent collaboration (MAC) systems, they felt like something out of science fiction. It’s a group of autonomous digital entities that negotiate, share context, ...

We're seeing AI evolve fast. It's no longer just about building a single, super-smart model. The real power, and the exciting frontier, lies in getting multiple specialized AI agents to work together.

Enterprises looking to deploy multiple AI agents often need to implement a framework to manage them. To this end, Microsoft researchers recently unveiled a new multi-agent infrastructure called ...