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What Is a Transformer? Architecture, Attention & 7 Facts

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Last updated: March 2026 A transformer is a neural network architecture introduced in the 2017 paper “Attention Is All You Need” that processes entire sequences in parallel using a mechanism called self-attention. Instead of reading tokens one by one like earlier recurrent models, transformers compute relationships between all tokens simultaneously — enabling faster training and … Read more

What Is a Neural Network? 5 Key Concepts for 2026

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A neural network is a machine-learning model composed of layers of interconnected nodes (neurons) that learn to map inputs to outputs by adjusting numerical weights and biases during training. Each neuron computes a weighted sum of its inputs, adds a bias, and passes the result through a non-linear activation function. y = σ(Σ wᵢxᵢ + … Read more