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At QCon SF 2024, Wenjie Zi of Grammarly presented on the challenges inherent in machine learning projects. She began by citing daunting statistics: historical studies show failure rates as high as 85%, with recent research indicating little improvement. This high failure rate highlights a significant issue in the field: despite advances in AI technology, applying […]
Moumita Bhattacharya spoke at QCon SF 2024 about state-of-the-art search and ranking systems. She gave an overview of the typical structure of these systems and followed with a deep dive into how Netflix created a single combined model to handle both tasks. Dr. Bhattacharya, a Senior Research Scientist at Netflix, began by outlining the problem […]
Microsoft recently launched a public preview of native vector support for the Azure SQL Database. With this update, the database can now store and process vector embeddings directly within it. Earlier, the support native vector support for the Azure SQL Database was in early adopter preview as the company sees the integration of vector search […]
Transcript HP: I think I’m going to try and elaborate our journey on how to architect systems with large language models. Let’s just examine the timeline a bit. We’re seeing a whole lot of discussions around large language models in the past year, a little bit before that. It’s not a miracle that large language […]