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chapter_preface_basic/Index.md

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# Part I Framework Design {#part-i-framework-design .unnumbered}
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In Part 1, we present a top-down approach to designing a machine
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learning framework. We begin by introducing the design of programming
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models for machine learning frameworks, followed by a discussion on
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representing a machine learning program as a computational graph. The
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machine learning program undergoes compilation by an AI compiler, which
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employs a range of frontend and backend techniques. Additionally, we
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will delve into the system components within a machine learning
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framework that facilitate data processing, model deployment, and
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distributed training.

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