AI Trends 2025: AI Agents and Multi-Agent Systems with Victor Dibia
Analysis
This article from Practical AI discusses the future of AI agents and multi-agent systems, focusing on trends expected by 2025. It features an interview with Victor Dibia from Microsoft Research, covering topics such as the unique capabilities of AI agents (reasoning, acting, communicating, and adapting), the rise of agentic foundation models, and the emergence of interface agents. The discussion also includes design patterns for autonomous multi-agent systems, challenges in evaluating agent performance, and the potential impact on the workforce and fields like software engineering. The article provides a forward-looking perspective on the evolution of AI agents.
Key Takeaways
- •AI agents are distinguished by their reasoning, acting, communicating, and adapting abilities.
- •The article explores the shift from simple task chains to complex workflows in AI agent systems.
- •It addresses the challenges of evaluating and benchmarking agentic systems, including the reliance on LLMs as judges.
“Victor shares insights into emerging design patterns for autonomous multi-agent systems, including graph and message-driven architectures, the advantages of the “actor model” pattern as implemented in Microsoft’s AutoGen, and guidance on how users should approach the ”build vs. buy” decision when working with AI agent frameworks.”