Transformers and Attention in Plain English
Demystify the transformer architecture by exploring how attention mechanisms let models focus on relevant context without needing to understand the math.
The Core Problem: Long-Range Dependencies
In "the trophy didn't fit in the bag because it was too big," what is "it"? Old models lost track over long sentences. This is the long-range dependency problem.
Attention as Weighted Focus
Attention is how a model decides which words matter most for each word — like highlighting the key parts of a passage instead of treating every word the same.
All lessons in this course
- From Autocomplete to ChatGPT
- Transformers and Attention in Plain English
- How LLMs Are Trained
- Capabilities and Limitations of LLMs