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1. Understanding Encoder And Decoder LLMs

   An explanation of the differences between encoder- and decoder-style large language model (LLM) architectures, including their roles in tasks such as classification, text generation, and translation.

   2024-12-28 Tags: encoder, decoder, llm, transformer, bert, roberta, gpt, bart, t5, seq2seq by klotz
2. Autoencoders: An Ultimate Guide for Data Scientists

   A detailed overview of the architecture, Python implementation, and future of autoencoders, focusing on their use in feature extraction and dimension reduction in unsupervised learning.

   2024-10-18 Tags: autoencoders, machine learning, data science, neural networks, feature extraction, dimension reduction, unsupervised learning, encoder, decoder by klotz
3. “Sequence to Sequence Learning with Neural Networks”: Paper Discussion

   2019-03-21 Tags: lstm, translation, encoder, decoder, deep learning by klotz
4. Paper Dissected: "Attention is All You Need" Explained | Machine Learning Explained

   2019-03-21 Tags: deep learning, architecture, attention, lstm, google, transformer, encoder, decoder by klotz

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