Published on February 1, 2026, this bookmark introduces queries, keys and values, and points to a notebook implementing LLM and NLP systems from first principles.
Published on February 1, 2026, this bookmark summarizes scaled dot-product attention: queries and keys are used to compare token relevance, while values are used to weight information in each representation. The post presents the mechanism as central to attention.
It points to a notebook in a GitHub repository about implementing LLM and NLP systems from first principles. To explore and verify the original material, consult the post and its referenced notebook; compare the implementation with the description of queries, keys and values, without attributing findings to the text that it does not report.