Unit 4.4 โ€” Agentic AI & Multi-Model Systems

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Lyrics

[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†’