Ever wonder what’s actually happening inside an AI model when it learns?
We did too… so we made the Floofies - cute furry characters that represent the parameters (the actual math) powering every LLM you use.
What are the Floofies, exactly?
They’re a visual metaphor for model parameters - the numbers that get updated during training and ultimately drive the model’s behavior.
Presented to you - Episode 1:🎬 The Great Training - we break down gradient descent and training.
How does the episode explain training?
Imagine wild, bumpy creatures with random values scattered across a huge landscape. They play a game billions of times - “guess the next word” - and with every round they shift a little, gradually turning into smooth, intelligent beings.
Is that just a cute story, or the real mechanism?
It’s a playful framing of the literal process: repeated prediction + error measurement + parameter updates is how LLMs learn.