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Information Theory for AI

Entropy, cross-entropy, and KL divergence — the math behind language models and classification.

2 lessons ~1 hours 130 XP

Chapter 1: Information Theory Essentials

What information means mathematically and why it matters for AI.

1.1

Entropy: Measuring Information

The foundation of information theory.

Soon+60 XP
1.2

Cross-Entropy and KL Divergence

The loss functions behind classification and language models.

Soon+70 XP