Scaling AI Model Development with Decentralized Blockchain Networks

Join an AI expert from Meta for an in depth look at the latest advancements in the open generative AI stack. This session will cover from the metal to the agent how large scale AI systems are built, the tools used and how you can build your own with open source AI from Meta including PyTorch, Triton, Llama and more.

Joe Spisak

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Meta

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This session will cover Sama's comprehensive Model Evaluation services, emphasizing the importance of aligning AI systems with ethical guidelines and improving their performance. Attendees will learn how to systematically assess AI outputs, identify inaccuracies and vulnerabilities, and employ strategies for accelerated time-to-market with robust model validation. Leveraging Sama's expert-driven platform, participants will discover how to build reliable, high-performing generative AI models while adhering to industry standards.

Duncan Curtis

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Sama

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A huge promise of LLM-powered agents is to not only provide simple Q&A search interfaces, but to automate 50%+ of operational work that a knowledge worker typically does. A lot of the day-to-day of a knowledge worker - whether an investment analyst, customer agent, or engineer - is ingesting a large volume of unstructured data and using that to synthesize new insights or take actions. This talk walks through the e2e architecture for building production knowledge agents that can actually do useful work over your data. This requires both a production-quality knowledge management layer as well as agent architectures that can reliably solve certain use cases.

Jerry Liu

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LlamaIndex

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