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LSTM Networks | A Detailed Explanation | Towards Data Science
LSTM Networks | A Detailed Explanation | Towards Data Science
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towardsdatascience.com
Last week we introduced how transformer LLMs work, this week we go deeper into one of its key elements—the attention mechanism, in a new course, Attention in Transformers: Concepts and Code in PyTorch, taught by 🪕🎶 Josh Starmer 🪕🎶 founder and CEO of StatQuest! Transformers, the architecture behind models like ChatGPT, rely on attention to process language efficiently. Instead of treating words in isolation, they weigh relationships between them, creating richer, context-aware representations
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