Tuesday May 27th- 9am PST/12 noon EST/ 6pm CET
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, we'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.
Can’t attend the live webinar? Register to receive the recording and watch it at your convenience.
Presented By
Elena Samuylova
CEO and Co-founder, Evidently AI
Jonathan Daniel
Senior Software Engineer, Iguazio (acquired by McKinsey)