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#381 – Chris Lattner: Future of Programming and AI

Lex Fridman Podcast

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Optimizing Performance with Mojo and Python

This chapter explores the optimization of machine learning and high-performance computing through the use of Mojo, a superset of Python. It discusses the integration complexities with CPython, enabling a smoother transition for developers, and highlights the potential performance improvements from utilizing Mojo. The conversation also delves into the future of automating transitions from Python to Mojo while maintaining compatibility with existing Python tools and libraries.

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