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Markovian Musings and Model Lineage
This chapter features a playful discussion about the term 'Markovian' as a humorous jab at nostalgia, while diving into the evolution and lineage of machine learning models. Through a family tree analogy, speakers emphasize the connections between foundational models like GANs and diffusion techniques, alongside the challenges of authoring a comprehensive book on variational inference. The chapter also explores the complexities of word prompts in large language models, linking prompt engineering to advancements in generative modeling.