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Navigating AI Model Evolution
This chapter explores the significant shifts in technology, focusing on the transition from CPUs to GPUs and the emergence of probabilistic programming. It highlights the intricacies of fine-tuning large language models for specific business applications, emphasizing collaboration between machine learning engineers and product managers. Additionally, the chapter compares the performance and cost implications of using large versus smaller generative AI models, underscoring the importance of rigorous testing and evaluation in today's rapidly evolving landscape.