MLOps at the Age of Generative AI - Podcast Episode 169

Dive into a comprehensive podcast episode exploring MLOps in the era of Generative AI with Barak Turovsky, an Executive in Residence at Scale Venture Partners. Gain insights into developing, training, and serving large language models, and discover a framework for evaluating Generative AI use cases. Learn about the challenges of building products at scale, machine trust adoption, and the importance of focusing on achievable use cases for LLMs. Explore the potential disruption in entertainment and customer interactions, the significance of data engineers, and the crucial collaboration between ML engineers and product teams. Benefit from Turovsky's extensive experience in AI and machine learning across various tech giants and startups, as he shares valuable perspectives on the evolving landscape of MLOps and Generative AI.

[] Barak's preferred coffee
[] Barak Turovsky's background
[] Please like, share, and subscribe to our MLOps channels!
[] Getting into tech
[] First wave of AI
[] Building a product at a scale and the challenges
[] Framework for evaluating Generative AI use cases
[] Machine trust adoption
[] Wandb's new course
[] Focus on achievable use cases for LLMs.
[] User feedback
[] Disruption of entertainment and customer interactions
[] Get new tools or work with your own distribution?
[] Importance of data engineers
[] ML Engineers Collaborate with Product
[] Wrap up