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
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Navigating AI Challenges and Design Paradigms
This chapter explores the challenges inherent in AI models, particularly focusing on their probabilistic nature and the issue of hallucination in responses. It introduces two design paradigms—imperative and declarative—while emphasizing the importance of user experience and the complexities in model training and deployment. The discussion extends to the customization of AI models for enterprises, highlighting the trade-offs between different approaches to managing machine learning systems.
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