As the industry moves beyond simple API wrappers, the challenge of building reliable AI shifts toward complex system design, retrieval optimization, and…
As the industry moves beyond simple API wrappers, the challenge of building reliable AI shifts toward complex system design, retrieval optimization, and managing agentic failure modes. This session explores the transition from experimental "glue code" to production-grade, end-to-end agentic systems. We will examine the engineering trade-offs of model-first RAG architectures, the security implications of autonomous "dark factory" software development, and the emergence of AI Experience (AX) as a necessary design discipline for non-human users.
This technical deep dive is intended for researchers, engineers, and architects focused on the practical realities of deploying scalable AI infrastructure in enterprise environments.
Agenda
We begin with Adam Gibson, providing a foundational look at the "model-first", unified infrastructure and RAG stack. This establishes the technical baseline for how components talk to each other. We then move to Leonard Lin, who scales that logic into the "Dar...
プラットフォーム: luma