Ep 50: Fireworks CEO Lin Qiao on Why There Won’t be a Single Model, Will Hyperscalers Win Inference & AI Use-cases with PMF
Description
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
United States
