TRANSFORMERS & LLMs • 45 / 397
Follow text from characters to tokens, attention, transformers and generation.
Attention
Attention lets a model assign different importance to different parts of the context while processing a token.
Think of it like
Think of Attention as part of a very fast reader that repeatedly decides what information matters and what should come next.
Real life
Autocomplete, translation and chat assistants depend on concepts such as Attention.
SRE lens
When analyzing “the database timed out because it was overloaded,” attention helps connect “it” with “database”.
Remember thisAttention lets a model assign different importance to different parts of the context while processing a token.