Triangular Masking Explained
The discussion delves into the concept of triangular masking, a technique used in the decoder of translation models. By illustrating how words are referenced in a matrix format, it highlights the importance of controlling which words can influence the context-rich vectors. The mathematical foundation behind this masking technique is explained, emphasizing how it ensures that only relevant words contribute to the final output, effectively enhancing the model's performance.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
747: Technical Intro to Transformers and LLMs — with Kirill Eremenko
Related Questions