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profvjreddi committed Nov 13, 2024
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inference optimization, and benchmarking methodologies. The book also
explores crucial systems considerations in areas like reliability,
privacy, responsible AI, and solution validation. Enjoy reading it!
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🎙 Explore the **[Podcast](notebooklm_podcast_mlsysbookai.mp3)**: This podcast was automatically created by Google's Notebook LM, based on insights drawn from our [IEEE position paper](https://web.eng.fiu.edu/gaquan/Papers/ESWEEK24Papers/CPS-Proceedings/pdfs/CODES-ISSS/563900a043/563900a043.pdf).
 
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<source src="notebooklm_podcast_mlsysbookai.mp3" type="audio/mpeg">
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repo-url: https://github.com/harvard-edge/cs249r_book
repo-branch: dev
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# Preface {.unnumbered}

Welcome to {{< var title.long >}}. This book is your gateway to the fast-paced world of AI systems. It is an extension of the course [CS249r](https://sites.google.com/g.harvard.edu/cs249-tinyml-2023) at Harvard University.
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