Attention Is All You Need
ar5iv.labs.arxiv.org
Attention Is All You Need
In 2017, Google published “Attention Is All You Need,” one of the most important papers in the history of machine learning. Building on the work of Bahdanau and his colleagues, Google researchers dispensed with the RNN and its hidden states. Instead, Google’s model used an attention mechanism to scan previous words for relevant context.
Timothy B. Lee • Why large language models struggle with long contexts
Self-Attention at a High Level
Don’t be fooled by me throwing around the word “self-attention” like it’s a concept everyone should be familiar with. I had personally never came across the concept until reading the Attention is All You Need paper. Let us distill how it works.
Say the following sentence is an input sentence we want to translate:
” The ... See more
Don’t be fooled by me throwing around the word “self-attention” like it’s a concept everyone should be familiar with. I had personally never came across the concept until reading the Attention is All You Need paper. Let us distill how it works.
Say the following sentence is an input sentence we want to translate:
” The ... See more
Jay Alammar • The Illustrated Transformer
The Transformer solved these issues by utilizing an “attention mechanism.” This technique allows the AI to concentrate on the most relevant parts of a text, making it easier for the AI to understand and work with language in a way that seemed more human.
Ethan Mollick • Co-Intelligence: Living and Working with AI
The Transformer solved these issues by utilizing an “attention mechanism.” This technique allows the AI to concentrate on the most relevant parts of a text, making it easier for the AI to understand and work with language in a way that seemed more human.