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klotz: neural network* + text* + machine learning*

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1. Understanding Attention in LLMs

   The attention mechanism in Large Language Models (LLMs) helps derive the meaning of a word from its context. This involves encoding words as multi-dimensional vectors, calculating query and key vectors, and using attention weights to adjust the embedding based on contextual relevance.

   2025-03-07 Tags: attention, llm, machine-learning, neural networks, nlp, transformers by klotz
2. Word embeddings  |  Text  |  TensorFlow

   2022-11-10 Tags: embedding, doc2vec, tensorflow, word2vec, classification, neural network by klotz
3. Part E: Text Classification with an Embedding Layer in a Feed-Forward Network - Deep Learning Tutorials with Keras - Medium

   2022-11-10 Tags: classification, doc2vec, embedding, neural network by klotz
4. Using Twin Neural Networks to Train Catalog Item Embeddings

   2021-09-10 Tags: neural network, embedding by klotz
5. Understanding BERT — Word Embeddings | by Dharti Dhami | Medium

   2020-10-15 Tags: bert, embedding, deep learning, neural networks, nlp, word embedding, medium, machine learning by klotz
6. Neural network for generating bread recipes | by Pratima Satish | Jul, 2020 | Towards Data Science

   2020-07-24 Tags: neural network, deep learning, nlp, text, recipe, bread by klotz
7. NLP: Contextualized word embeddings from BERT - Towards Data Science

   2019-12-22 Tags: nlp, bert, embedding, neural network by klotz
8. Write With Transformer

   2019-07-16 Tags: gpt-2, neural network, text, editor by klotz
9. Organizing My Emails With A Neural Net – Andrey Kurenkov's Web World

   2019-06-22 Tags: mail, text, classification, nlp, neural network, embedding, svm, keras by klotz
10. Pun Generation via Surprise

    2019-04-18 Tags: nlp, neural network, deep learning, humor, pun by klotz

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