Transformer Architectures
Discover how encoder structures in transformers, like BERT, excel in natural language understanding, while decoder-only architectures shine in natural language generation. Learn about the importance of masking during self-attention to prevent models from "cheating" and how full encoder-decoder architectures provide a balanced approach for highly contextualized generation.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
759: Full Encoder-Decoder Transformers Fully Explained — with Kirill Eremenko
Related Questions
What is attention as it relates to transformers, in the context of the episode 684: Get More Language Context out of your LLM — with Jon Krohn (@JonKrohnLearns) and the clip Flash Attention Techniques?
What is the main topic of the clip Decoder-Only Models from the episode 759: Full Encoder-Decoder Transformers Fully Explained — with Kirill Eremenko?