Part 6/9:
The growing focus on multi-agent systems hints at a transformative future. The foundations of such systems center around individual AI agents with specific roles, tools, and tasks. A simplified mnemonic to remember these components is "tired alpacas mix tea": tasks, answers, models, and tools.
When combining multiple agents, various collaboration models emerge:
Sequential Systems: One AI performs a task and passes the result to another in a chain-like structure.
Hierarchical Systems: A manager agent oversees several sub-agents, each handling specialized tasks.
Hybrid Systems: These combine sequential and hierarchical methods, often seen in complex environments like autonomous vehicles.