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spacy.io | ||
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blog.apify.com
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| | | | | Text mining in Python: preprocessing, vectorization, NER, and visualization with NLTK, spaCy, and transformers. Includes working code. | |
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mccormickml.com
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| | | | | [AI summary] The tutorial provides a comprehensive guide to extracting and analyzing BERT embeddings. It begins with tokenization and segment embedding creation, followed by the calculation of word and sentence embeddings using different strategies such as summation and averaging of hidden layers. The context-dependent nature of BERT embeddings is demonstrated by comparing vectors for the word 'bank' in different contexts. The tutorial also discusses pooling strategies, layer choices, and the importance of context in generating meaningful embeddings. It concludes with considerations for special tokens, out-of-vocabulary words, similarity metrics, and implementation options. | |
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www.vladsiv.com
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| | | | | In this blog post, I'm sharing my experience taking the Databricks Generative AI Associate exam - from study notes to resources that made a difference. Whether you're just starting your prep or looking for extra insights, this guide will help you find the right resources to get prepared. | |
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r2rt.com
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