Single-Agent vs. Multi-Agent Generative AI: Comparative Insights and Industry Applications

In single-agent generative AI, there is a single AI model that is programmed to do certain tasks on its own. These models work best in settings with clear parameters and don’t need to connect with other systems very much.

Single Agents: Image generated by 4.0

Versus multi-agent systems, where multiple AI models work together to complete difficult tasks in multi-agent generative AI. These systems can handle changing environments well and mimic how people interact with each other.

Multi agents: Image generated by 4.0

Table: comparing single Vs. multi-GenAI Agents

Multi-agent systems are more complicated because agents need to work together, but they work best in environments that are changing and are very complicated. Single-agent systems, on the other hand, are easier to use and better at doing specific jobs.

Complexity Comparison: Single-Agent vs. Multi-Agent Generative AI Systems

Single-Agent Generative AI:

• Development: Easier…