This chapter discusses the ongoing revolution in microelectronics and the emergence of specialized chips and chiplets that are enabling AI applications. It explores the importance of local processing for personal assistant AI and delves into the concept of confidential computing and trusted execution environments (TEEs) to secure AI model environments and data inside processors.
What is the model lifecycle like for experimenting with and then deploying generative AI models? Although there are some similarities, this lifecycle differs somewhat from previous data science practices in that models are typically not trained from scratch (or even fine-tuned). Chris and Daniel give a high level overview in this effort and discuss model optimization and serving.
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