AI Agent Mastery: Agent Architectures

In this deep-dive session, we explore the essential building blocks of agent-based systems that drive efficient and scalable LLMs. Learn about key architectural models, including components, execution branches, and routers, and how they play a pivotal role in optimizing LLM performance. We also examine the evolution of agents over the past few years, highlighting how modern approaches have transformed the way developers build AI systems. Perfect for developers looking to master LLM architecture and enhance system efficiency.
Register for the upcoming sessions here: arize.com/reso...
Slides: 20083050.fs1.h...