Attention (machine learning)
Machine learning technique
📊 Rating
1 news mentions · 👍 0 likes · 👎 0 dislikes
📌 Topics
- Artificial Intelligence (1)
- Machine Learning (1)
- Neural Networks (1)
🏷️ Keywords
Free Energy Mixer (1) · Transformer architecture (1) · Attention mechanism (1) · Log-sum-exp (1) · Channel-wise selection (1) · arXiv (1) · Deep learning (1)
📖 Key Information
In machine learning, attention is a method that determines the importance of each component in a sequence relative to the other components in that sequence. In natural language processing, importance is represented by "soft" weights assigned to each word in a sentence. More generally, attention encodes vectors called token embeddings across a fixed-width sequence that can range from tens to millions of tokens in size.
📰 Related News (1)
-
🇺🇸 Free Energy Mixer
arXiv:2602.07160v1 Announce Type: cross Abstract: Standard attention stores keys/values losslessly but reads them via a per-head convex average, bloc...
🔗 Entity Intersection Graph
People and organizations frequently mentioned alongside Attention (machine learning):
- 🌐 Deep learning (1 shared articles)
- 🌐 Transformer (deep learning) (1 shared articles)