Real-Time Generative Models in AI

This chapter examines autoregressive models and their significance in generating sequential outputs, focusing on the interplay of historical and predictive components. It illustrates how these models, akin to language processors, can create rich narrative or visual contexts through iterative prompting. The discussion highlights the advancements in memory and consistency in AI models, particularly in simulating dynamic scenarios and enhancing user interactivity.

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