TRANSFORMERS & LLMs • 54 / 397
Follow text from characters to tokens, attention, transformers and generation.
Decoder-Only Model
A decoder-only model predicts successive tokens from prior context and is common for general-purpose LLMs.
Think of it like
Think of Decoder-Only Model 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 Decoder-Only Model.
SRE lens
Most chat generation workloads behave like repeated next-token inference.
Remember thisA decoder-only model predicts successive tokens from prior context and is common for general-purpose LLMs.