What Model Developers Can Learn from AI/ML Best Practices!
In Episode 2, Josh Goldberg and Joe Mattey shift the focus to what model developers can learn from the practices that have made AI/ML successful. They explore the implications of rapid iteration, data-centric workflows, and the importance of feedback loops. The discussion emphasizes practical takeaways for model development teams looking to enhance performance and agility while maintaining sound risk management practices.
