This week we’re talking to Lin Qiao, former PyTorch lead at Meta and current CEO of Fireworks AI. We discuss the evolution of AI frameworks, the challenges of optimizing inference for generative AI, the future of AI hardware, and open-source models. Lin shares insights on PyTorch design philosophy, how to achieve low latency, and the potential for AI to become as ubiquitous as electricity in our daily lives. Chapters: 00:00 - Introduction and PyTorch Background04:28 - PyTorch's Success and Design Philosophy08:20 - Lessons from PyTorch and Transition to Fireworks AI14:52 - Challenges in Gen AI Application Development22:03 - Fireworks AI's Approach24:24 - Technical Deep Dive: How to Achieve Low Latency29:32 - Hardware Competition and Future Outlook31:21 - Open Source vs. Proprietary Models37:54 - Future of AI and Conclusion I hope you enjoy the conversation and if you do, please subscribe! --------------------------------------------------------------------------------------------------------------------------------------------------Humanloop is an Integrated Development Environment for Large Language Models. It enables product teams to develop LLM-based applications that are reliable and scalable. To find out more go to humanloop.com