---
title: LLM Evaluation and Testing for Reliable AI Apps
description: Learn how to evaluate and monitor LLMs in real-world scenarios.
image: https://go.iguazio.com/hubfs/The%20MLOps%20Live%20Webinar%20%2338%20on-demand_1200-1200.png
---

![Frame (1)](https://go.iguazio.com/hubfs/Frame%20(1).png "Frame (1)")

### Watch On Demand

# The MLOps Live Webinar Series

### Session #38

### Watch On Demand

#### On Demand

## LLM Evaluation and Testing for Reliable AI Apps

**LLM evaluation is essential.** Building with LLMs means working with complex, non-deterministic systems. Testing is critical to catch failures and risks early - and to ship fast and with confidence.

In this webinar, you'll hear firsthand about the challenges and opportunities presented by LLM observability. We'll dive into:

- ****Real-world risks****: Explore actual examples of LLM failures in production environments, including hallucinations and vulnerabilities.
- ****Practical evaluation techniques****: Discover tips for synthetic data generation, building representative test datasets, and leveraging LLM-as-a-judge methods.
- ****Evaluation-driven workflows****: Learn how to integrate evaluation into your LLM product development and monitoring processes.
- ****Production monitoring strategies****: Gain insights on adding model monitoring capabilities to deployed LLMs, both in the cloud and on-premises.

##### Presented By

###### Elena Samuylova

CEO and Co-founder, Evidently AI

###### Jonathan Daniel

Senior Software Engineer, Iguazio (acquired by McKinsey)