Konstantinos Giotis

As enterprises increasingly integrate Large Language Models (LLMs) and Generative AI (GenAI) into mission-critical applications, ensuring their accuracy, efficiency, and reliability has become a top priority. Traditional testing methodologies fall short in capturing the dynamic nature of AI models, necessitating a new paradigm in automated testing and benchmarking.

This session will introduce an innovative AI testing framework designed specifically for LLM and GenAI applications. It will explore the latest advancements in automated evaluation tools, real-world performance metrics, and domain-specific benchmarks that measure AI effectiveness beyond traditional accuracy scores. Attendees will gain actionable insights into testing methodologies that ensure AI models are robust, unbiased, and scalable across various industries and datasets.