The Full Stack of Open Generative Ai

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

|

Sama



More Information

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

|

LlamaIndex



More Information

This session covers how Resolve AI's agentic AI leverages automated workflows to address both repetitive and novel incidents, achieving a high resolution rate without human intervention. Explore the integration capabilities with popular tools like AWS and Kubernetes to enhance reliability and minimize production disruptions. Gain insights into how these AI-driven solutions streamline incident troubleshooting and improve system understanding.

Spiros Xanthos

|

Resolve AI



More Information