About this episode
Lin Qiao, the co-founder of Fireworks.ai, sits down for a deep dive into the future of AI. Lin ran the PyTorch team at Meta, which developed some of the most fundamental open-source AI software in use today. She’s got a riveting perspective on the AI landscape that is a must-listen. [0:00] Intro[1:06] Fireworks: Revolutionizing AI Inference[2:12] Challenges in AI Model Development[4:05] The Future of AI: Compound Systems[4:32] Designing Effective AI Tools[10:26] Customization and Fine-Tuning in AI[14:06] Human-in-the-Loop Automation[16:38] Evaluating AI Models[19:18] Building Complex AI Systems[21:18] Function Calling and AI Orchestration[26:52] AI Infrastructure and Hardware[31:08] Small Expert Models[31:27] Hyperscalers and Resource Management[32:14] Inference Systems and Scalability[33:08] Running Models Locally: Cost and Privacy[35:20] Open Source Models and Meta's Role[36:41] The Evolution of AI Training and Inference[38:04] Fireworks' Vision and Market Strategy[40:46] The Impact of Generative AI[45:18] AI Research and Future Trends[46:58] Building for a Rapidly Changing AI Landscape[49:36] Quickfire With your co-hosts: @jacobeffron - Partner at Redpoint, Former PM Flatiron Health @patrickachase - Partner at Redpoint, Former ML Engineer LinkedIn @ericabrescia - Former COO Github, Founder Bitnami (acq’d by VMWare) @jordan_segall - Partner at Redpoint
