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Building Software Systems at Google and Lessons Learned Jeff Dean jeff@google.com Plan for Today • Evolution of various systems at Google –computing hardware –core search systems –infrastructure software • Techniques for building large-scale systems –decomposition into services –design patterns for performance & reliability –Joint work with many, many people • # docs: tens of millions to tens of b
View PDF Abstract:We introduce a new language representation model called BERT, which stands for Bidirectional Encoder Representations from Transformers. Unlike recent language representation models, BERT is designed to pre-train deep bidirectional representations from unlabeled text by jointly conditioning on both left and right context in all layers. As a result, the pre-trained BERT model can b
Indexes are models: a B-Tree-Index can be seen as a model to map a key to the position of a record within a sorted array, a Hash-Index as a model to map a key to a position of a record within an unsorted array, and a BitMap-Index as a model to indicate if a data record exists or not. In this exploratory research paper, we start from this premise and posit that all existing index structures can be
The document describes a language detection library that can detect the language of texts with over 99% precision for 49 languages. It uses a Naive Bayes algorithm and character n-grams as features to classify texts into language categories. The library is open source and available for Java. It was tested on over 9,000 news articles in 49 languages with an accuracy of 99.77%.Read less
December 1, 2016 Volume 14, issue 5 PDF BBR: Congestion-Based Congestion Control Measuring bottleneck bandwidth and round-trip propagation time Neal Cardwell, Yuchung Cheng, C. Stephen Gunn, Soheil Hassas Yeganeh, Van Jacobson By all accounts, today's Internet is not moving data as well as it should. Most of the world's cellular users experience delays of seconds to minutes; public Wi-Fi in airpor
VISUAL ARTISTS ✕ IMAGENArtists endlessly reimagine Alice’s Adventures in Wonderland by fine-tuning Imagen 2 in each of their unique styles.
This commit implements a new TCP congestion control algorithm: BBR (Bottleneck Bandwidth and RTT). A detailed description of BBR will be published in ACM Queue, Vol. 14 No. 5, September-October 2016, as "BBR: Congestion-Based Congestion Control". BBR has significantly increased throughput and reduced latency for connections on Google's internal backbone networks and google.com and YouTube Web serv
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