Trust in AI
Krishna discusses the critical components of building trust in AI, emphasizing the importance of model monitoring and explainability. He highlights Fiddler's innovative algorithms that allow for root cause analysis of model performance issues, as well as their robust bias detection metrics. With advancements in LLM observability, companies can ensure safe and effective deployment of AI technologies.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
690: How to Catch and Fix Harmful Generative A.I. Outputs — with Krishna Gade
Related Questions
What is the challenge around explainability in AI as discussed in the episode How Explainable AI is Critical to Building Responsible AI // Krishna Gade MLOps // Meetup #53 and the clip Exploring MLOps Community
What is the challenge around explainability in AI as discussed in the episode How Explainable AI is Critical to Building Responsible AI // Krishna Gade MLOps // Meetup #53 and the clip Conquering AI Challenges