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<p>This class is closely tied to the <ahref="https://supaerodatascience.github.io/deep-learning/transformers.html">Transformers</a> class, which focuses on the architecture. In this two-part class, we present a historical and recent view of NLP in AI.</p>
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<p>Introduction to NLP <ahref="https://github.com/SupaeroDataScience/deep-learning/raw/main/NLP/support/NLP.pdf">slides</a></p>
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<p>Large Language Models and Generative AI <ahref="https://github.com/SupaeroDataScience/deep-learning/raw/main/NLP/support/Large_Language_Models_and_Generative_AI.pdf">slides</a></p>
<li><ahref="https://github.com/SupaeroDataScience/deep-learning/blob/main/NLP/Text%20processing%20and%20Classification.ipynb">Text Processing and Classification</a>, version <ahref="https://colab.research.google.com/github/SupaeroDataScience/deep-learning/blob/main/NLP/Text%20processing%20and%20Classification.ipynb">colab</a></li>
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<li><ahref="https://github.com/SupaeroDataScience/deep-learning/blob/main/NLP/Entity%20Recognition%20and%20Chatbots.ipynb">Entity Recognition and Chatbots</a>, version <ahref="https://colab.research.google.com/github/SupaeroDataScience/deep-learning/blob/main/NLP/Entity%20Recognition%20and%20Chatbots.ipynb">colab</a></li>
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<li><ahref="https://github.com/SupaeroDataScience/deep-learning/blob/main/NLP/Activity_Word2Vec.ipynb">Word2Vec Exercise</a>, version <ahref="https://colab.research.google.com/github/SupaeroDataScience/deep-learning/blob/main/NLP/Activity_Word2Vec.ipynb">colab</a></li>
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<li><ahref="https://www.coursera.org/learn/human-language">MOOC of 10-20h on linguistics</a></li>
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<li><ahref="http://jalammar.github.io/">blog of Jay Alamar</a></li>
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<li><ahref="https://ruder.io/">blog of Sebastian Ruder</a></li>
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<li><ahref="https://explosion.ai/blog">Explosion.ai</a>, creators of spacy</li>
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