Part 7/10:
Notable Design Patterns in Agentic AI
Expanding on the idea of agentic AI, Andrew specified four major design patterns driving innovation:
Reflection: AI can critique and improve its own generated outputs.
Tool Use: Languages models can be programmed to execute tasks requiring additional tools or actions beyond generation.
Planning: Complex tasks can be decomposed into sequential actions that an AI executes effectively.
Multi-Agent Collaboration: By employing various AI agents, tasks can be tackled simultaneously, often resulting in more efficient workflows.
These patterns enable the construction of richer and more capable AI agents that can accomplish tasks unimaginable a year ago.