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September 16-18, 2024
Vienna, Austria
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Note: The schedule is subject to change.

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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

Tuesday September 17, 2024 11:55 - 12:35 CEST
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.
Speakers
avatar for Ezequiel Lanza

Ezequiel Lanza

Open Source AI Evangelist, Intel
Passionate about helping people discover the exciting world of artificial intelligence, Ezequiel is a frequent AI conference presenter and the creator of use cases, tutorials, and guides that help developers adopt open source AI tools.
avatar for Katherine Druckman

Katherine Druckman

Open Source Security Evangelist, Intel
Katherine Druckman is an Open Source Evangelist at Intel where she enjoys sharing her passion for a variety of open source topics. She is a long-time open source advocate, developer, and podcaster, and is currently the host of Open at Intel and co-host of the FLOSS Weekly and Reality... Read More →
Tuesday September 17, 2024 11:55 - 12:35 CEST
Hall B (Level 2)
  Open AI + Data Forum
  • Audience Level Any

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