Uploaded November 2025 | Updated September 2026, 2 weeks ago

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Data enhances foundational LLMs (e.g. GPT-4, Mistral Large and Llama 2) for context-aware outputs. In this session, we'll cover using unstructured, multi-modal data (e.g. PDFs, images or videos) in retrieval augmented generation (RAG) systems and learn about how cloud object storage can be an ideal file system for LLM-based applications that transform and use of domain-specific data, store user context and much more.
How to using unstructured, multi-modal data (e.g. PDFs, images or videos) in retrieval augmented generation (RAG) systems How cloud object storage can be an ideal file system for LLM-based applications Performance characteristics of cloud object storage needed for running AI/ML workloads at scale.
Presented by Scott Hoag, Microsoft
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