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
