Designing for Forward Compatibility in Gen AI - MLOps Podcast

Explore the intricacies of designing for forward compatibility in generative AI with Rohit Agarwal, CEO of Portkey.ai, in this insightful MLOps podcast episode. Delve into practical strategies for securing LLM systems and gaining confidence in production deployments. Learn about the evolving landscape of AI infrastructure, including the shift from cloud resources to foundational models as compute units. Discover solutions for high-scale model challenges, the increasing complexity of AI applications, and the potential of small language models. Gain valuable insights on AI gateways, security and compliance measures, and the concept of data mesh. Understand the importance of forward compatibility and the benefits of decoupling AI gateways from code. Rohit shares his experiences and hard-learned lessons in creating Portkey, offering a comprehensive look at the current state and future direction of MLOps and generative AI deployment.