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

Unsupervised Learning

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