Understanding and Coding Self-Attention, Multi-Head Attention, Cross-Attention, and Causal-Attention in LLMs
This article will teach you about self-attention mechanisms used in transformer architectures and large language models (LLMs) such as GPT-4 and Llama. Self-attention and related mechanisms are core components of LLMs, making them a useful topic to understand when working with these models.However, rather than just discussing the self-attention mechanism, we will code it in Python and PyTorch from the ground up. In my opinion, coding algorithms, models, and techniques from scratch is an excellen...
Read more at magazine.sebastianraschka.com