In this session, attendees will learn why using Test-Driven Development (TDD) is important for making AI systems reliable. Instead of relying on gut feelings or subjective judgments, the speaker will discuss moving to a more structured, test-based method that improves the accuracy and dependableness of AI applications.

The session will also cover some practical tips on creating useful ways to measure and evaluate AI models and keep results consistent over time. Attendees will learn how to fine-tune prompts in real-world settings and follow a step-by-step method to improve prompts. They’ll also explore different ways to assess quality, including gathering feedback from users.

By the end of the session, they'll understand how to set up solid evaluation processes to boost the performance and trustworthiness of generative AI systems.