: The "brain" of the transformer that determines which words in a sequence are most relevant to each other.
By 2021, the had solidified its place as the industry standard for language modeling. This year also saw the introduction of breakthrough techniques like LoRA (Low-Rank Adaptation) and Prefix-Tuning , which redefined how developers could efficiently handle massive model weights without needing supercomputer-level resources. Core Architecture Components Build A Large Language Model -from Scratch- Pdf -2021
: Converting those tokens into dense vectors that represent semantic meaning. : The "brain" of the transformer that determines