[Verse 1] Agents need more than simple chat replies They plan ahead with memory that never dies ReAct patterns weave reasoning with action steps While Plan-and-Execute maps the path and preps [Chorus] Agent minds that think and do Multi-model systems breaking through MCP connects the tools they need Agentic AI plants every seed Remember, reason, act, reflect Multi-agent architect [Verse 2] Reflection agents critique their own mistakes Debate patterns argue until the best choice takes AutoGen orchestrates the conversation flow CrewAI assigns roles so every agent knows [Chorus] Agent minds that think and do Multi-model systems breaking through MCP connects the tools they need Agentic AI plants every seed Remember, reason, act, reflect Multi-agent architect [Bridge] Short-term context holds what happened now Long-term vectors store the why and how Episodic memory keeps the story straight While guardrails make sure agents calculate Sequential steps or parallel streams Hierarchical layers fulfill the dreams Function calls bridge the model gap Tool integration fills every map [Verse 3] Sandboxing keeps the dangerous code contained Human-in-the-loop keeps control maintained LangGraph weaves the logic into graphs Vector stores remember previous paths [Final Chorus] Agent minds that think and do Multi-model systems breaking through MCP connects the tools they need Agentic AI plants every seed Plan, execute, critique, debate Multi-agent orchestrate [Outro] From research tasks to structured reports Agentic systems of every sort Memory, planning, tools combined The future's here with artificial mind
โ Unit 4.3 โ Working with Large Language Models | Unit 5.1 โ Model Deployment & Serving โ