The Illustrated Transformer
By Jay Alammar
Free
Added 6 months ago
Description
A visual and simplified exploration of the Transformer model in machine learning.
Summary
Jay Alammar simplifies the Transformer model in machine learning, making complex concepts accessible through visualization and step-by-step explanation.
Key Insights
💡 Self-attention allows Transformers to understand contextual relationships between words in a sentence. 💡 The efficiency of Transformers is greatly enhanced through matrix calculations and parallelization. 💡 Positional encoding is crucial for the model to recognize word order, enhancing the natural flow of the translated text.