Dissecting the Attention Mechanism and Transformers
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Transformers have revolutionized NLP, powering models like GPT-4o, Claude, and DeepSeek. But what makes them so effective? The answer lies in their attention mechanism, which enables models to focus on relevant information rather than processing everything equally.
In this blog, we’ll dissect the Transformer architecture, exploring its evolution from SEQ2SEQ models to Bahdanau Attention and cutting-edge techniques like Multihead and Cross Attention. By the end, you’ll have a strong understanding of how attention works, why it’s crucial, and how it enables modern LLMs.
Dive into the full article here: Dissecting the Attention Mechanism and Transformers 🚀