Matrix3D: Large Photogrammetry Model All-in-One

We present Matrix3D, a unified model that performs several photogrammetry subtasks, including pose estimation, depth prediction, and novel view synthesis using just the same model. Matrix3D utilizes a multi-modal diffusion transformer (DiT) to integrate transformations across several modalities, such as images, camera parameters, and depth maps. The key to Matrix3D’s large-scale multi-modal training lies in …

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Behind the Scenes: Building a Robust Ads Event Processing Pipeline

Kinesh Satiya Introduction In a digital advertising platform, a robust feedback system is essential for the lifecycle and success of an ad campaign. This system comprises of diverse sub-systems designed to monitor, measure, and optimize ad campaigns. At Netflix, we embarked on a journey to build a robust event processing platform that not only meets …

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Elevate marketing intelligence with Amazon Bedrock and LLMs for content creation, sentiment analysis, and campaign performance evaluation

In the media and entertainment industry, understanding and predicting the effectiveness of marketing campaigns is crucial for success. Marketing campaigns are the driving force behind successful businesses, playing a pivotal role in attracting new customers, retaining existing ones, and ultimately boosting revenue. However, launching a campaign isn’t enough; to maximize their impact and help achieve …

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From LLMs to image generation: Accelerate inference workloads with AI Hypercomputer

From retail to gaming, from code generation to customer care, an increasing number of organizations are running LLM-based applications, with 78% of organizations in development or production today. As the number of generative AI applications and volume of users scale, the need for performant, scalable, and easy to use inference technologies is critical. At Google …