Category: AI Foundations

The Transformer, introduced in 2017, redefined sequence modeling by using self-attention instead of recurrence. This architecture processes the full input simultaneously, enabling each token to interact freely. The model consists of an encoder and decoder, each building contextual representations. Variants like BERT and GPT emerged, focusing on understanding or generating text, showcasing its adaptability across…