Designing ML Infrastructure for ML and LLM Use Cases

Explore a comprehensive podcast discussion on designing machine learning infrastructure for ML and LLM use cases. Gain insights from ML Product Leader Amritha Arun Babu Mysore and Managing Consultant Analytics Abhik Choudhury as they delve into best practices for building reusable, scalable, and governable MLOps architectures. Learn about ML workflow maturity levels, development and deployment processes, automated ML comparisons, and the differences between LLMs and traditional ML. Discover strategies for designing user-friendly MLOps systems, assessing metric impacts, analyzing learning risks, and navigating user journeys. Gain valuable advice on transitioning to ML product management and AI engineering roles, and understand the challenges of data compliance in the field.