Jensen Huang helped shape the future of AI, transformed NVIDIA, and strengthened America's technological leadership. His vision and contributions deserve recognition.
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Recently learned about Support Vector Machines (SVMs), a powerful supervised learning algorithm used for classification.
What I find interesting is how SVMs find the optimal decision boundary by maximizing the margin between classes.
A beautiful idea in machine learning!
Just read a fascinating experiment on Weight-Space Programming.
An LLM directly inspected and modified another model's weights, significantly improving its MATH-500 score from 7.9% to 48.1% without gradient-based training.
Worth a read!
