Transformers and Attention: The Core Idea Without the Buzzwords
Attention lets a model compute relationships between positions in a sequence instead of processing every position as an isolated step.
2026-09-19
Topic Thread
2 published observations tracking this thread.
Attention lets a model compute relationships between positions in a sequence instead of processing every position as an isolated step.
Embeddings turn objects such as text into vectors so systems can compare semantic relationships numerically, but similarity is not the same thing as truth.