Part 1/8:
Exploring the Future of Multi-Agent Systems
The landscape of artificial intelligence (AI) is witnessing a remarkable evolution, particularly through the lens of multi-agent systems (MAS). This article dives deep into the advancements within MAS frameworks, the methodologies for optimizing their performance, and the latest research developments highlighted in recent studies.
What are Multi-Agent Frameworks?
When referring to multi-agent frameworks, we see a variety of commercially available options that are making waves in the AI community. Key players include Crew AI, AutoGen, LLMChain, and Microsoft’s Semantic Kernel. These frameworks are designed to enhance AI capabilities through machine learning and complex decision-making processes.