Architecting Reliable LLM Systems | A Masterclass in Evaluation & Safeguards

Are your LLM applications truly ready for production or just ready for demos?
Generative AI development has moved fast. But building an LLM application is only half the challenge. The harder part is ensuring it performs reliably, safely, and consistently under real-world conditions. That requires moving well beyond basic accuracy into systematic, structured evaluation.

This masterclass covers the proven strategies behind LLM evaluations, from hallucination mitigation and red teaming to benchmarking and agentic system assessment.

What you will gain:
🎯 A framework for designing and implementing quantitative evaluation metrics for your LLM application
🎯 Practical techniques to detect, measure, and minimize hallucinations
🎯 Structured red teaming methods to expose vulnerabilities before deployment
🎯 Clear protocols for evaluating multi-step AI workflows
🎯 Actionable insights from high-stakes domains; healthcare and conversational AI

Speaker: Pasan Wickramarathna, Senior AI Engineer at Forevate by Fcode Labs

Event Details:
📅 April 30th, 2026
⏰ 5:00 PM CEST
🖥 Virtual (MS Teams)

👉 Reserve your spot now: https://bit.ly/register-llm-masterclass