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bdtechtalks.com
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| | | | | The transformer model has become one of the main highlights of advances in deep learning and deep neural networks. | |
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saeedesmaili.com
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| | | | | Recently, I've been working on a side project where I use OpenAI's text-embedding-ada-002 model to generate vector embeddings for text snippets. While this model is inexpensive, the cost can add up when dealing with thousands or millions of text snippets. Therefore, I decided to explore alternatives, particularly those that would allow me to run similar models locally instead of relying on OpenAI's API. In this post, I'll share my experience using the sentence-transformers library for this purpose and discuss the pros and cons. | |
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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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vamzzz.com
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| | | La Vie Parisienne (the Parisian life) was a French weekly magazine founded in Paris in 1863 and was published without interruption until 1970. | ||