In this podcast, the MLOps vs. LLMOps Panel discuss the high-level differences between MLOps and LLMOps, the impact of ML ops on companies, the challenges of open source tools and data safety in financial firms, the cost and rationalization of MLOps, options for large enterprises in ML model development, and the use of foundational models and vector databases.

Snorkel AI CEO Alex Ratner joins the hosts to discuss selling AI to Fortune 500 companies, data-centric versus model-centric AI, flashy demos versus actual production value. Snorkel Flow helps fine-tune generative models with programmatic approaches to enhance results.

Alex Ratner, CEO of Snorkel AI, discusses the growth of Snorkel, importance of data development in AI, barriers to enterprise AI adoption, and the role of academia in AI progress. Topics include avoiding errors in pre-training, enterprise AI deployment challenges, future AI regulation, and over-hyped AI models.