Drawing from his 8 years of experience in AI, Paul Iusztin breaks down the core components of a scalable architecture, emphasizing the importance of RAG. He shares practical patterns, including the Feature Training Inference architecture, and provides a detailed use case for creating a "Second Brain" AI assistant, covering everything from data pipelines to observability and agentic layers. By Paul Iusztin
Presentation: The Data Backbone of LLM Systems
Drawing from his 8 years of experience in AI, Paul Iusztin breaks down the core components of a scalable architecture, emphasizing the importance of RAG. He shares practical patterns, including the Feature Training Inference architecture, and provides a detailed use case for creating a "Second Brain" AI assistant, covering everything from data pipelines to observability and agentic layers. By Paul Iusztin