Overview
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This tutorial provides a comprehensive exploration of AI agents, combining theoretical foundations with practical code examples. Dive into the often confusing world of AI agents with clear definitions and distinctions between agents and workflows. Learn about various agent architectures including prompt chaining, routing, parallelization, orchestrator-worker models, and evaluator-optimizer systems. The video also offers pragmatic advice on why building fully autonomous agents might not be ideal and why focusing on simpler agentic systems is more effective. References include research from HuggingFace and Anthropic, making this a well-rounded introduction for those looking to understand and implement AI agent technology.
Syllabus
- Introduction: 0:00
- What is an Agent: 1:50
- HuggingFace agents definitions overview: 4:01
- Agent vs workflows: 8:20
- Prompt Chaining: 10:25
- Routing: 12:28
- Parallelization: 16:03
- Orchestrator-Workers: 18:13
- Evaluator-Optimizer: 24:18
- Why you shouldn't build autonomous agents: 29:47
- Focus on simple agentic systems: 34:22
Taught by
Yacine Mahdid