Automated Design of Agentic Systems with Shengran Hu - #700
Analysis
This article summarizes a podcast episode discussing Automated Design of Agentic Systems (ADAS). The focus is on automatically creating agentic system designs using LLMs. The discussion covers the spectrum of agentic behaviors, the motivation behind ADAS, its key components, and the iterative design process. The potential of ADAS to reveal insights into foundation models, emergent meta-behaviors, and novel design patterns is highlighted. Practical applications and system optimization for real-world tasks are also mentioned. The episode appears to be a deep dive into a specific research area within AI.
Key Takeaways
“The article doesn't contain a direct quote, but it discusses the ADAS approach and its use of LLMs to design novel agent architectures in code.”