Eriva Library

Rigorous, first-principles curricula covering artificial intelligence from foundational mathematical mechanics to modern deep learning architectures.

AI Foundations: From Math to Neural Networks

Deconstruct how neural networks compute using fundamental math. Master forward passes, activation functions, and backpropagation step-by-step.

5 Lessons

The Forward PassThe Backward Pass & Optimization+1 more

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LLM Foundations: Architecture & Inference

In Development

See how language models predict the next word. Step through subword tokenization, Query-Key-Value attention matrices, and transformer decoding.

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AI's Greatest Hits

In Development

Step inside the seminal papers and breakthroughs that shaped modern AI. Dissect the core innovations behind CNNs, ResNet, Transformers, and Diffusion models.

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