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DTSTART:20210614T000000
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DTSTART:20211031T030000
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SUMMARY:Dense Concept Retrieval - Konstantinos Perifanos\, Lily Davies
DTSTART;TZID=Europe/Berlin:20220614T145000
DTEND;TZID=Europe/Berlin:20220614T153000
DTSTAMP:20260811T050351Z
UID:pretalx-bbuzz22-37DVBP@pretalx.com
DESCRIPTION:At codec.ai we are processing at a daily basis a large volume 
 of input streams in different modalities: text\, image\, videos. Understan
 ding and making sense of what this content is from a cultural point of vie
 w is a challenging task. Here\, we will be presenting our multimodal searc
 h engine which makes possible to search text\, image and video content. \n
 \n\nWe will be discussing traditional information retrieval approaches aug
 mented with dense retrieval representations produced by neural networks (e
 mbeddings)\, dot product queries with Elasticsearch and approximate neares
 t neighbor techniques such as Locality-Sensitive Hashing (LSH) an Product 
 Quantization (PQ).\n\nThe Search track is presented by OpenSource Connecti
 ons
LOCATION:Frannz Salon
URL:https://pretalx.com/bbuzz22/talk/37DVBP/
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