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27min chapter
#381 – Chris Lattner: Future of Programming and AI
Lex Fridman Podcast
Navigating Programming Paradigms and AI Challenges
This chapter explores the complexities of programming languages, contrasting low-level and high-level options, and their evolution alongside hardware developments. It discusses the challenges of deploying machine learning models, the roles of TensorFlow and PyTorch, and the need for improved tools in the industry. Furthermore, it highlights the implications of specialized hardware and the necessity for modular frameworks to enhance performance in the rapidly advancing AI landscape.
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