Automated Design of Agentic Systems with Shengran Hu - 700

Today, we're joined by Shengran Hu, a PhD student at the University of British Columbia, to discuss Automated Design of Agentic Systems (ADAS) - https://arxiv.org/abs/2408.08435, an approach focused on automatically creating agentic system designs. We explore the spectrum of agentic behaviors, the motivation for learning all aspects of agentic system design, the key components of the ADAS approach, and how it uses LLMs to design novel agent architectures in code. We also cover the iterative process of ADAS, its potential to shed light on the behavior of foundation models, the higher-level meta-behaviors that emerge in agentic systems, and how ADAS uncovers novel design patterns through emergent behaviors, particularly in complex tasks like the ARC challenge. Finally, we touch on the practical applications of ADAS and its potential use in system optimization for real-world tasks.

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📖 CHAPTERS
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00:00 - Introduction
2:42 - Analogy behind automated agent design
7:57 - Spectrum of agenticness
9:08 - Collaborative systems of agents with different specialties
14:50 - AI generating algorithms idea behind ADAS paper
18:54 - Key components of ADAS
31:33 - ADAS system
37:32 - Iterative process of ADAS
46:39 - Patterns and behaviors in agent processing
53:56 - Practical applications of ADAS


🔗 LINKS & RESOURCES
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Automated Design of Agentic Systems (ADAS) - https://arxiv.org/abs/2408.08435
Accelerating Intelligence with AI-Generating Algorithms with Jeff Clune - 602 - https://twimlai.com/podcast/twimlai/a...


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