Overview
Learn how to prove your LLM application is reliable, secure and production-ready before it reaches customers.
Shipping an LLM chatbot is the easy part. Knowing it will behave when real customers use it is harder.
Join Arul Murugan Mani, VP & Global Head of Digital & Quality Engineering at Narwal, for a live session on how AI-powered and Autonomous QE can help you test LLM applications with confidence.
What you'll learn:
- How to turn business expectations into measurable quality criteria for correctness, relevance, security, safety, resilience and customer experience
- Where scripted test cases and manual spot checks leave gaps
- How Autonomous QE agents simulate diverse user journeys, edge cases and adversarial interactions
- How continuous evaluation catches behavior changes after prompt, model, data, RAG or guardrail updates
- How QE can move from a release checkpoint to a continuous quality layer
Who should attend: QE, engineering and product teams building or testing LLM-powered applications.
Register to reserve your seat: https://narwal.ai/ai-powered-qe-llm-chatbots/
Good to know
Highlights
- 1 hour
- Online
Location
Online event
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