/explore
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polukhin.tech | ||
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www.paepper.com
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| | | | | Today's paper: End-to-End object detection with transformers by Carion et al. This is the second paper of the new series Deep Learning Papers visualized and it's about using a transformer approach (the current state of the art in the domain of speech) to the domain of vision. More specifically, the paper is concerned with object detection and here is the link to the paper of Carion et al. on arxiv. | |
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machinethink.net
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| | | | | An in-depth look at how fast object detection models are trained | |
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amatria.in
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| | | | | [AI summary] The provided text is an extensive overview of various large language models (LLMs) and their architectures, training tasks, and applications. It includes detailed descriptions of models like GPT, T5, BERT, and others, along with their pre-training objectives, parameter counts, and specific use cases. The text also references key research papers, surveys, and resources for further reading on LLMs and related topics. | |
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jimmeruk.com
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| | | This idiot posted a picture of himself during the election campaign. Ripe for photoshopping. | ||
