DataFramed #241 Getting Generative AI Into Production with Lin Qiao, CEO and Co-Founder of Fireworks AI
Sep 5, 2024
Lin Qiao, CEO and Co-Founder of Fireworks AI, is a former engineering leader at Meta and LinkedIn, specializing in generative AI. She discusses the transition of generative AI from experimentation to mainstream use, emphasizing the importance of fine-tuning models for specific business needs. Lin addresses the challenges of AI integration, including cost efficiency and managing hallucinations. She also explores the rising competitiveness of smaller models and the critical role of quality evaluation datasets in deploying effective AI solutions.
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The Rise of Smaller Models
- Smaller language models are rapidly improving in quality, offering a cost-effective alternative to larger models.
- Consider larger models for initial exploration and smaller models as they become more competitive.
Optimizing GPU Utilization
- Optimize GPU utilization by addressing different bottlenecks in prompt processing and content generation.
- Scale different model parts independently for cost efficiency and throughput improvement.
Infrastructure Partnerships
- Partner with an infrastructure provider to manage generative AI infrastructure for product teams.
- This allows product teams to focus on product development rather than infrastructure challenges.