Fiddler LLM Enrichments Framework and Image XAI Showcase
May 22, 2024
10AM PT / 1PM ET
Registration is now closed. Please check back later for the recording.
We're thrilled to announce major product enhancements to the Fiddler AI Observability Platform for predictive and generative models. As enterprises roll out new use cases, the use of image models is extending into mainstream applications. On the generative AI side, the ability to accurately monitor a variety of metrics to track hallucination, toxicity, and PII levels becomes increasingly crucial to ensure LLM applications are high performing, correct, safe, and private.
Watch this demo-driven webinar to explore how to:
- Use Fiddler’s Enrichments Framework to accurately measure and monitor LLM metrics, even in air-gapped environments
- Gain deep insights into the predictions and behaviors of computer vision models with our advanced image explainability
Featured Speakers
Karen He
Principal Product Marketing Manager
at
Fiddler AI
Karen He is a Principal Product Marketing Manager at Fiddler where she leads product marketing. She has experience in customer experience analytics, data and application integration, and data cloud storage. Prior to Fiddler, she worked at AWS, IBM, SnapLogic, and Tealeaf Technologies.
Joshua Rubin
Head of AI Science
at
Fiddler AI
Joshua has been a Fiddler for five years. During this time he developed a modular framework to extend explainability to complex model form-factors, such as those with multi-modal inputs. He previously applied deep learning to instrument calibration and signal processing problems in the biotech tools space after outgrowing a career as an experimental nuclear physicist.
William Han
Product Manager
at
Fiddler AI
William is a Product Manager at Fiddler working on Fiddler's LLMOps product. Previously, he monitored LLM applications that handled millions of customer conversations per day. Before Fiddler, he was a product manager at AWS.
