Talk on rapid evolution of agent-to-agent systems.

Want to control the output of your AI agents? This session explores essential Agent Ops practices, including metrics-driven development, large language model (LLM) evaluation with retrieval-augmented generation (RAG) and function calling, debugging with Cloud Trace, and learning from human feedback. Learn how to optimize agent performance and drive better business outcomes.

RAG (retrieval-augmented generation) systems ground generative AI models in your own data, ensuring factuality, relevance, and control in the performance of your enterprise applications. However, building a RAG system from scratch is complex. In this session we'll share how Vertex AI Search can serve as an out-of-the-box RAG system for enterprise applications, handling data management, embedding, indexing, and retrieval with minimal setup time. Follow along to see how you can build and deploy a RAG-powered app in minutes and hours.

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