Large Language Models: DeBERTa — Decoding-Enhanced BERT with Disentangled Attention

Large Language Models: DeBERTa — Decoding-Enhanced BERT with Disentangled Attention

Exploring the advanced version of the attention mechanism in Transformers

Introduction

In recent years, BERT has become the number one tool in many natural language processing tasks. Its outstanding ability to process, understand information and construct word embeddings with high accuracy reach state-of-the-art performance.

As a well-known fact, BERT is based on the attention mechanism derived from the Transformer architecture. Attention is the key component of most large language models …

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