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State of the Art Data Retrieval with Machine Learning & Elasticsearch | DISFP11

Microsoft Developer
592K subscribers
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2.5K views 1 year ago #MSBuild
Join our deep dive to discuss how to use Elasticsearch for data retrieval with Microsoft Azure OpenAI Service. We’ll cover how context from proprietary data sets can make a material difference in relevance, including: Model management to add 3rd party transformer models and ML inference pipelines to create vector embeddings. Our new, pre-trained late interaction model’s superior relevance out of the box, across domains. Elasticsearch’s retrieval capabilities for query time context window. Speakers:
  • Nick Chow
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State of the Art Data Retrieval with Machine Learning & Elasticsearch | DISFP11
27Likes
2,573Views
2023May 23
Join our deep dive to discuss how to use Elasticsearch for data retrieval with Microsoft Azure OpenAI Service. We’ll cover how context from proprietary data sets can make a material difference in relevance, including: Model management to add 3rd party transformer models and ML inference pipelines to create vector embeddings. Our new, pre-trained late interaction model’s superior relevance out of the box, across domains. Elasticsearch’s retrieval capabilities for query time context window. Speakers:
  • Nick Chow
  • Jennifer Garcia
Session Information: This video is one of many sessions delivered for the Microsoft Build 2023 event. View the full session schedule and learn more about Microsoft Build at https://build.microsoft.com DISFP11 | English (US) #MSBuild

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Microsoft Developer

592K subscribers