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Welcome & Community Update

Intro: Recent Advancements in Multi-Modal Gen AI

Antje Barth | Principal Developer Advocate, Generative AI, AWS

As generative AI continues to evolve at a rapid pace, we're witnessing a paradigm shift towards multi-modal models that can seamlessly integrate and generate across various forms of data. This talk explores the recent advancements in multi-modal generative AI across RAG, embeddings, and foundation models.

Creating Extended Reality (XR) Applications

Felix Zhang | Immersive Web Engineer, Meta Reality Labs

Explore how to create cutting-edge Extended Reality (XR) applications, from integrating Generative AI for immersive 3D environments and realistic interactions to building productivity-boosting utility applications and WebXR-based e-commerce solutions. Whether you're an experienced XR developer or new to the field, this session will provide practical insights and real-world examples.

AI running it’s own code: Agentic Code Interpreter

Mike Chambers | Senior Developer Advocate, Generative AI, AWS

AI and LLMs often face challenges when it comes to complex data analysis and mathematical operations, limiting their utility in solving sophisticated problems. This session shows how Agentic Code Interpreters bridge this gap, allowing AI agents to execute code and tackle tasks like data visualization and advanced analytics. Discover how this innovation can transform your workflows.

Beyond text: A multimodal chat interface with storage, compute, and web access

Danilo Poccia | Principal Developer Advocate, Generative AI, AWS

In this session, we’ll dive deep into enhancing a basic chat by adding multimodal support, persistent storage, document and image access, computational abilities, web search, and connectivity. We’ll use multiple LLMs via Amazon Bedrock Converse API. With tool use, we’ll give the model new capabilities. We’ll implement a multimodal in-memory or on-disk vector store to process large content.

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