Transformers have become the backbone of modern AI, powering models like GPT, BERT, and more. Their attention mechanisms enable them to process data more effectively than traditional models like RNNs and LSTMs.
👉 https://dzone.com/articles/the-transformer-algorithm-data-and-attention
In this article, I explore:
How attention mechanisms prioritize important data points.
Why Transformers outperform older sequence models in NLP tasks.
Real-world applications, from chatbots to document summarization.
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