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This is an outstanding paper on various sentence embedding techniques https://arxiv.org/abs/1908.10084 . Great accuracy on STS (semantic text similarity) benchmarks, almost sota accuracy but at a fraction of the cost. Also enables semantic retrieval using approximate neighbor search.
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Jo Kristian Bergum proslijedio/la je Tweet
Awesome
@vespaengine (#opensource#bigdata serving engine) updates: tensor functions, new sizing guides, performance improvement for matched elements in map/array-of-struct, and boolean field query optimization. Explore here: https://yahoodevelopers.tumblr.com/post/190520850938/vespa-product-updates-january-2020-tensor ….#machinelearning#AIHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Almost forgot, and LightGBM integration.Fantastic to work with so many talented engineers all pulling in the same direction!
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So many great things in progress at
@vespaengine hq this sprint, super energized! Approximate neighbor search over HNSW index evaluation. Parameters, accuracy loss and performance. Great progress. Also Deep BERT ranking integration coming closer with tensor GEMM optimizations.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
https://yahoodevelopers.tumblr.com/post/190520850938/vespa-product-updates-january-2020-tensor … Product updates from
@vespaengine January 2020. BERT is coming to Vespa. Also relevanthttps://cloudblogs.microsoft.com/opensource/2020/01/21/microsoft-onnx-open-source-optimizations-transformer-inference-gpu-cpu/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jo Kristian Bergum proslijedio/la je Tweet
Hi all, your regular reminder that the Call for Papers for Haystack US, the search relevance conference, ends Jan 31st - please send us your search and relevance talks! http://www.haystackconf.com
#HaystackConf#solr#elasticsearch#searchrelevance#vespaengineHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Take your org to the next big data maturity level! See also https://medium.com/vespa/blog-recommendation-with-neural-network-models-4d54e5253c60 …https://twitter.com/vespaengine/status/1219537861965467648 …
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One of many applications which uses
@vespaengine in@verizonmedia. Check out this presentation from AWS re:Invent 2019: How Verizon Media implemented push notification using Amazon DynamoDB. 150K/s push notifications, resolving of targets done by Vespa. https://www.youtube.com/watch?v=FwWT6a3ikZ4 …pic.twitter.com/xpfxlgnJks
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Jo Kristian Bergum proslijedio/la je Tweet
Today I had the pleasure to talk about the bug bounty community on a panel with
@martenmickos and a few folks from@TheParanoids at@verizonmedia’s#TechPulse conference!
pic.twitter.com/O0dE5tGltj
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Interesting to see
@awscloud launch Kendra enterprise search with question answering capabilities using deep learning models. We at the Vespa team recently described how to do semantic question answering using@vespaengine, https://docs.vespa.ai/documentation/semantic-qa-retrieval.html …https://twitter.com/jobergum/status/1188832484735307777 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jo Kristian Bergum proslijedio/la je Tweet
Getting started with machine-learned ranking using Vespahttps://medium.com/vespa/learning-to-rank-with-vespa-9928bbda98bf …
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Also makes me think we have failed at informing the world about the feature set in Vespa and the scale we operate it at Verizon Media.
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Came across this and realized that the features which amazon team contributed upstream to Lucene has been in Vespa for ages. Multi threaded indexing, custom term freq contribution and multiple threads per query. I’ve written about these features and more https://medium.com/vespa/e-commerce-search-and-recommendation-with-vespa-ai-a49c98f97e68 …https://twitter.com/AWSOpen/status/1200434240669790208 …
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Jo Kristian Bergum proslijedio/la je Tweet
If you have http://Vespa.ai it's not too late to make yourself a state of the art and infinitely scalable e-commerce site in time for Black Friday.
@jobergum explains how inhttps://medium.com/vespa/e-commerce-search-and-recommendation-with-vespa-ai-a49c98f97e68 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Working on new sample applications for
@vespaengine this morning. A simple neural network trained with@PyTorch, exported in@onnxai format and deployed to Vespa for serving. Text embeddings from Google's Universal Sentence Encoder. Work building on https://github.com/vespa-engine/sample-apps/tree/master/semantic-qa-retrieval …pic.twitter.com/NVxdrQlIhX
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Very nice introduction to text classification using the [cls] token output embedding from distilled BERT as the text feature tensor for binary classification task. Similar technique can be used in LTR (Learning to Rank).https://twitter.com/jalammar/status/1199223688866009088 …
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Jo Kristian Bergum proslijedio/la je Tweet
“With these GPU optimizations, we were able to use 2000+ Azure GPU Virtual Machines across four regions to serve over 1 million BERT inferences per second worldwide” Bing, using (distilled, 3-layer) BERT in production. via
@rangthanhttps://azure.microsoft.com/en-us/blog/bing-delivers-its-largest-improvement-in-search-experience-using-azure-gpus/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jo Kristian Bergum proslijedio/la je Tweet
Awesome
@vespaengine updates - Nearest Neighbor and Tensor Ranking, Optimized JSON Tensor Feed Format, Matched Elements in Complex Multi-value Fields, Large Weighted Set Update Performance, &@datadoghq Monitoring Support. Learn more: https://yahoodevelopers.tumblr.com/post/188839744218/vespa-product-updates-octobernovember-2019 ….#opensource#bigdataHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
It might fix your search problems. BERT based ranking models is dominating the leaderboard for
@MSMarcoAI passage ranking, beating the official BM25 baseline significantly (0.39 versus 0.16) on MRR. http://www.msmarco.org/leaders.aspx . Tensors + Neural Network evaluation =>@vespaengine.https://twitter.com/FlaxSearch/status/1191755803759403010 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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