Tag: encoder-decoder transformers
28Jun
Cross-Attention in Encoder-Decoder Transformers: How LLMs Use Conditioning
Explore how cross-attention enables encoder-decoder transformers to condition outputs on input context. Learn the mechanics, differences from self-attention, and applications in multimodal AI.
29Jan
Encoder-Decoder vs Decoder-Only Transformers: Which Architecture Powers Today’s Large Language Models?
Encoder-decoder and decoder-only transformers power today's large language models in different ways. Decoder-only models dominate chatbots and general AI due to speed and scalability, while encoder-decoder models still lead in translation and summarization where precision matters.