Why are the terms Query, Key, and Value used in self-attention mechanisms? In the Part 4 of our Transformers series, we break down the intuition reasoning behind the names - Query, Key and Value. By ...

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. (In partnership with Paperspace) In recent years, the transformer model has ...

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

Abstract: Feed-forward layers constitute two-thirds of a transformer model’s parameters, yet their role in the network remains under-explored. We show that feed-forward layers in transformer-based ...