How to design reliable evals for models and agents

Ryan welcomes Benjamin Klieger, lead engineer at Groq, to explore the infrastructure behind AI agents, how you can turn a one-minute agent into a ten-second agent, and how they used fast inference and effective evals to build their efficient and reliable Compound agent. 

Episode notes: 

Groq delivers fast, low-cost inference using their custom-designed LPU, the first chip built for inference. Check out their agent, Compound, which can search the web and run code.

Connect with Benjamin on LinkedIn and X. 

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