Event-Driven & Multi-Agent Architectures for Complex Workflows in Gen AI скачать в хорошем качестве

Event-Driven & Multi-Agent Architectures for Complex Workflows in Gen AI

Join us for the Data on Kubernetes Town Hall on October 16th. We host monthly town halls to feature use cases and advancements in the DoK ecosystem. AGENDA [10:00 AM] Welcome and Community Updates Presented by Paul Au, Head of Community [10:05 AM] Speaker: Mary Grygleski, Regional Director of The AI Collective Harnessing Event-Driven and Multi-Agent Architectures for Complex Workflows in Generative AI Systems We live in a complicated world and we are beginning to see that today’s generative AI systems are simply not well equipped to handle the increased complexity that is found especially in business workflows and transactions. Event-driven architectures and multi-agent systems offer a promising solution by enabling real-time processing, decentralized decision-making, and enhanced adaptability. This presentation proposes an in-depth exploration of how event-driven architectures and multi-agent systems can be leveraged to design and implement complex workflows in generative AI. By combining the real-time responsiveness of event-driven systems with the collaborative intelligence of multi-agent architectures, we can create highly adaptive, efficient, and scalable AI systems. This presentation will delve into the theoretical foundations, practical applications, and benefits of integrating these approaches in the context of generative AI.