Deep Learning Models for Natural Language Processing

Natural Language Processing has seen remarkable progress with the introduction of transformer architectures. Models like BERT and GPT have set new benchmarks across a wide range of language tasks.

These architectures use self-attention to capture long-range dependencies in text, enabling more nuanced understanding and generation of human language.