Self-Attention

A Deep Dive into Multi-Head Attention: The Versatile Core of GPT

by
A Deep Dive into Multi-Head Attention: The Versatile Core of GPT

In the realm of deep learning, the attention mechanism is akin to a master of its craft. Originally emerging in machine translation, Attention quickly became a powerful tool for addressing long sequence dependency issues, enabling models to focus on truly important information. This is similar to how, in a noisy gathering, your brain automatically filters … Read more

Multi-head Attention Mechanism

by
Multi-head Attention Mechanism

In the Transformer model,the Multi-head Attention Mechanism is indeed a key extension of the Self-Attention mechanism, with the core purpose of enhancing the model’s ability to capture different aspects of information in the input sequence by learning multiple sets of independent attention weights in parallel. Below is a detailed analysis from principles, implementation to advantages: … Read more