These mechanisms are core components of large language models (LLMs) like GPT-4 and Llama. By understanding these attention mechanisms, we can better grasp how these models work and their application potential.We will not only discuss theoretical concepts but also implement these attention mechanisms from scratch using Python and PyTorch. Through practical coding, we can gain … Read more
Attention mechanisms have become the foundational architecture for model design; nowadays, it’s almost embarrassing to release a model without any Attention. Since the release of the attention mechanism, the academic community has been continuously modifying Attention in various innovative ways. The modified Attention can enhance the model’s expressive capability, improve cross-modal abilities and interpretability, as … Read more
Application of Attention Mechanism in “Attention is All You Need” 3.2.3 3.2.3 Application of Attention Mechanism in Our Model The Transformer uses three different ways of multi-head attention mechanism as follows: In the “encoder-decoder attention” layer, queries come from the previous layer of the decoder, while memory keys and values come from the output of … Read more