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Mojo: A Supercharged Python for AI with Chris Lattner - #634
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
AI Beyond Matrix Multiplication
AI encompasses data loading, pre-processing, and parallel computing, not just matrix multiplication. Attempts to address the CUDA lock-in issue have led to compiler problems, creating a new lock-in by hindering compatibility and accessibility. Modular solutions aim to cater to the need for code compatibility across popular AI frameworks like TensorFlow and PyTorch, enabling a unified and scalable system for both research and production environments.
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