AI Fundamentals

An essential primer on the engine of intelligence: Vectors, Logic, and the critical difference between CPUs and GPUs.

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Neural Networks 101

A deep dive into how artificial neurons work, from perceptrons to multi-layer feed-forward networks.

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Training Data & Bias

Understanding the role of data in AI: How models learn, the danger of overfitting, and the challenge of dataset bias.

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The Turing Test & AGI

Exploring the philosophical and technical boundaries between simulated intelligence and true consciousness.

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