TensorFlow
Google's machine learning framework
Episodes
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#4658: Will AI Coding Kill Programming Languages?Machines now write code better than humans. What happens to Python, TypeScript, and COBOL when no human reads the code? -
#1717: The AI Framework Name GameWhy are there thousands of "AI frameworks" on GitHub? We unpack the naming mess and the cost of semantic inflation. -
#1094: The CPU-First Era: Why AI is Moving Back to the ProcessorIs the GPU's reign over? Discover how modern CPUs and clever optimization are bringing powerful AI models to the hardware you already own. -
#1021: The Python Paradox: Why AI's Backbone Is a Nightmare to DeployWhy did a 1980s hobby project become the backbone of AI? Explore the history of Python and the chaos of modern dependency management. -
#176: What Are AI Weights, Really?What actually happens inside an AI model? Corn and Herman break down the numerical "valves" and "knobs" that power modern intelligence. -
#170: How PyTorch Beat TensorFlow and Became AI's BackboneDiscover why PyTorch is the "oxygen" of AI. Herman and Corn explore its history, the magic of Autograd, and the move to the PyTorch Foundation. -
#38: Why Local AI Inference Is Beating the CloudAI supercomputers are landing on your desk! Discover why local AI is indispensable for enterprises facing API costs, latency, and privacy. -
#25: The Open-Source Battle for AI's Hardware SoulUnraveling how GPUs power AI. We dive into CUDA, ROCm, and the software stack that makes it all think. -
#18: Beyond the GPU: Unpacking AI's Chip RevolutionBeyond the GPU: we're unpacking AI's chip revolution. Discover the crucial, often overlooked world of AI's fundamental building blocks.