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Getting Started Jan 15, 2025 8 min read
Why You Need Math for AI (And Why It's Not as Scary as You Think)
Every AI framework abstracts the math away. So why learn it?
boringscool TeamRead more
Deep dives into math concepts, AI connections, and learning strategies.
Every AI framework abstracts the math away. So why learn it?
When you call model.forward(x), what actually happens? Matrix multiplications.
At its core, training a neural network is just rolling a ball downhill.
The transformer architecture that powers GPT — it's clever matrix multiplications with a softmax.
Classification? Probability. Language modeling? Probability. Generative AI? Probability.