@kT1910
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Jul 4, 2023 · 3 min read · Neural machine translation has seen significant strides with the introduction of sequence-to-sequence models. However, these models initially struggled with long sentences, often resulting in loss of information and context. The game changer? Attenti...
Join discussionJul 3, 2023 · 2 min read · In the world of machine translation and sequence-to-sequence models, there have been few innovations as impactful as the introduction of the attention mechanism. This technique was first proposed by Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio ...
Join discussionJul 2, 2023 · 3 min read · If you're interested in natural language processing or sequence prediction tasks, you may already be familiar with Recurrent Neural Networks (RNNs) and their capabilities. One of the techniques that make RNNs so powerful in these applications is beam...
Join discussionJun 29, 2023 · 3 min read · If you've dabbled in natural language processing (NLP), you've probably heard about Word2Vec, a powerful algorithm that revolutionized the field by learning vector representations of words. You may also know that the parameters of the softmax functio...
Join discussionJun 11, 2023 · 2 min read · Word embeddings. If you're involved in the world of Natural Language Processing (NLP) or Machine Learning, you've undoubtedly heard of them. But what are they, and why are they so crucial to the ways in which our technologies understand human languag...
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