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 zackproser.com
How are embeddings models trained for RAG?
| | mccormickml.com
BERT Word Embeddings Tutorial ยท Chris McCormick
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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.
| | bdtechtalks.com
Machine learning: What is the transformer architecture? - TechTalks
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| | The transformer model has become one of the main highlights of advances in deep learning and deep neural networks.
| | blog.vespa.ai
Pretrained Transformer Language Models for Search - part 1 | Vespa Blog
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| | This is the first blog post in a series of posts where we introduce using pretrained Transformer models for search and document ranking with Vespa.ai.
| | www.sysdig.com
What is Agentic AI? | Sysdig
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| Agentic AI can act independently to achieve specified goals, making decisions and taking action without human direction. Learn more.