💼 AI in the Enterprise with Jeremie Dreyfuss
The MLOps Podcast
Navigating Model Deployment and Data Challenges in Machine Learning
This chapter explores the complexities of deploying machine learning models, emphasizing the transition from traditional training methods to utilizing open-source models and APIs. It highlights the challenges faced in data collection, particularly in high-stakes scenarios like chip testing at Intel, and the need for robust infrastructure to manage diverse data streams.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
