Demand for generative AI development is moving like a bullet train! Rapid innovation can move lightning-fast and produce exciting projects. Now is the time to embrace open development, refine best practices, and collaborate on standards for all to benefit.
This session will outline common pain points involved in building LLM-based generative AI applications, especially those using RAG techniques, and connect them to open solutions. We will share reference architectures to help shorten developers’ paths to releasing performant AI applications to meet the needs of stakeholders and users. Finally, we’ll share community efforts, such as the Linux Foundation’s Open Platform for Enterprise AI project, to advance this critical work.
Join us to explore ways to discover the untapped potential in generative AI development workflows.