In this interactive panel session, bring your questions as your lineup explores how to evaluate the efficacy of large language models (LLMs), focusing on key metrics, performance challenges, and the technical stack required for optimal results. Dissect the complexities of benchmarking, scaling, and fine-tuning LLMs for real-world applications, and leave set to build more powerful, value-driving apps.

As LLMs transform enterprise applications, they introduce critical security vulnerabilities that threat actors are actively exploiting. This presentation examines the rising challenges of jailbreak attempts, PII leakage, and other LLM vulnerabilities. We'll discuss how robust AI observability and security combined with the industry's fastest guardrails at <100 milliseconds response time can protect LLM applications in private VPCs or air-gapped environments. Through practical security best practices and strategies, attendees will learn how to implement high-performance observability measures that effectively safeguard LLM applications and deliver quality customer experiences.