Machine Learning
Transformers: The Architecture That Changed Everything
Before Transformers, we had RNNs and LSTMs, which were slow and had memory issues. Then the 'Attention is All You Need' paper dropped, and everything chang…
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Machine Learning
Machine Learning
Natural Language Processing: Teaching Machines to Read
I always thought NLP was magic. How can a machine understand sarcasm or context? The reality is, they don't 'understand' in the human sense. They learn pat…