19:46

Quantization vs Pruning vs Distillation: Optimizing NNs for Inference

16:49

Better not Bigger: Distilling LLMs into Specialized Models

1:00:11

EfficientML.ai Lecture 9 - Knowledge Distillation (MIT 6.5940, Fall 2023)

36:25

Direct Preference Optimization (DPO): Your Language Model is Secretly a Reward Model Explained

6:47

Simply explained! KAN: Kolmogorov–Arnold Networks is interpretable! Mathematics and Physics

1:09:57

RetNet: A Successor to Transformer for Large Language Models Explained

57:03

Comment Deux Amis Changent Un CHÂTEAU Abandonné En HÔTEL 4☆ | @chateaudutheil

14:03

Animation vs. Math