Agentic Design Patterns

Agentic Design Patterns

https://www.deeplearning.ai/the-batch/how-agents-can-improve-llm-performance/?ref=dl-staging-website.ghost.io

 

• Reflection: The LLM examines its own work to come up with ways to improve it. 
• Tool Use: The LLM is given tools such as web search, code execution, or any other function to help it gather information, take action, or process data.
• Planning: The LLM comes up with, and executes, a multistep plan to achieve a goal (for example, writing an outline for an essay, then doing online research, then writing a draft, and so on).
• Multi-agent collaboration: More than one AI agent work together, splitting up tasks and discussing and debating ideas, to come up with better solutions than a single agent would.

 

reflection

https://www.deeplearning.ai/the-batch/agentic-design-patterns-part-2-reflection/

Planning

 https://www.deeplearning.ai/the-batch/agentic-design-patterns-part-4-planning/?ref=dl-staging-website.ghost.io

 

Tool

https://www.deeplearning.ai/the-batch/agentic-design-patterns-part-3-tool-use/?ref=dl-staging-website.ghost.io

 

Multi-Agent Collaboration

https://www.deeplearning.ai/the-batch/agentic-design-patterns-part-5-multi-agent-collaboration/?ref=dl-staging-website.ghost.io

 

 

https://www.xiaohongshu.com/explore/674428fb000000000203b7c8?xsec_token=ABSIlYttBOII1odx3ON2SyKTZBmhLijCxkqCfbIZ_UxMM=&xsec_source=pc_collect

这四种模式各有千秋，Reflection 注重质量提升，Tool Use 扩展能力，Planning 实现自主决策，Multi - agent 协同增效。技术成熟度上，Reflection 和 Tool Use 相对成熟，Planning 还在发展，Multi - agent 最具创新性但也最有挑战。选择模式时要考虑任务复杂度、质量要求、资源约束和风险承受能力。希望今天的分享能让大家对 AI Agent 设计模式有更清晰的认识😘！