Understanding AI Agents - From LLMs to Autonomous Workflows breaks down one of the most important tech shifts of our time. We go beyond buzzwords like ChatGPT, RAG, and LLMs to uncover how AI agents evolve from simple text tools to fully autonomous decision-makers. Inspired by Jeff Su’s clear breakdown, this episode is your no-fluff cheat sheet for AI comprehension.
Understanding AI Agents - From LLMs to Autonomous Workflows | ChatGPT, RAG, and Real-World Examples
🎧 Perfect for:
Tech enthusiasts curious about how AI works
Product managers exploring AI integration
Developers working with LLMs and workflows
🚀 Key Highlights:
Limitations of Large Language Models (LLMs)
AI Workflows explained with real use-cases
The leap to Autonomous AI Agents
Real-world example using Make.com and Claude
Understanding RAG (Retrieval-Augmented Generation)
🧰 What's Inside:
0:00 – Why AI agents matter
1:00 – Level 1: LLMs like ChatGPT, Gemini, Claude
2:15 – Level 2: AI Workflows (structured automation)
4:45 – What is RAG and how it fits in
5:30 – Real-World Workflow example using Make.com
7:10 – Level 3: What makes an AI Agent autonomous
9:00 – Agent vs Workflow: Reasoning and Acting
10:30 – Future of AI: What’s next?
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🔖 Tags:
#UnderstandingAIAgents #LLMExplained #ChatGPTWorkflows #AIWorkflows #AutonomousAI #AIExplained #RAGinAI #OpenAI #ClaudeAI #AI2025