Attention Is All You Need
ar5iv.labs.arxiv.org
Attention Is All You Need
The attention mechanism helps solve this problem by allowing the AI model to weigh the importance of different words or phrases in a block of text. By focusing on the most relevant parts of the text, Transformers can produce more context-aware and coherent writing compared to earlier predictive AIs.
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.
Ethan Mollick • Co-Intelligence: Living and Working with AI
Transformers (how LLMs work) explained visually | DL5
youtu.beTheoretical limitations of multi-layer Transformer
arxiv.org
When a large language model ingests a sentence, it constructs what can be thought of as an “attention map.” It first organizes commonly occurring groups of letters or punctuation into “tokens,” something like syllables, but really just chunks of frequently occurring letters making it easier for the model to process the information. It’s worth notin
... See moreMustafa Suleyman • The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma
Learning involves in effect compressing data by leveraging regularities.
by Stephen Wolfram
https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/