Transformers

Explore how attention mechanisms allow neural networks to focus on relevant information, enabling breakthroughs in NLP and beyond.

BERT is a transformer-based language model that revolutionized NLP by learning bidirectional context. This guide covers its architecture, pre-training objectives, fine-tuning strategies, and variants.

Understand the Transformer architecture that revolutionized NLP and now powers GPT, BERT, and all modern large language models.