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Meet the winners of the Video Similarity Challenge!

DrivenData Labs

Ed Pizzi, Meta AI Research Scientist and Video Similarity Challenge author The ability to identify and track content on social media platforms, called content tracing, is crucial to the experience of billions of users on these platforms. student in ReLER, University of Technology Sydney, supervised by Yi Yang.

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Implement a multi-object tracking solution on a custom dataset with Amazon SageMaker

AWS Machine Learning Blog

In ByteTrack, the author proposed a simple, effective, and generic data association method (referred to as BYTE) for detection box and tracklet matching. About the Authors Gordon Wang , is a Senior AI/ML Specialist TAM at AWS. For more information, refer to Multi Object Tracking using YOLOX + BYTE-TRACK and data analysis.

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Understanding BERT

Mlearning.ai

This blog post promises to be easier to understand than the underlying research paper, especially for readers not that familiar with the field. In the ablation studies, the authors can demonstrate that this approach yields performance improvements over classical ones.

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Enabling conversational interaction on mobile with LLMs

Google Research AI blog

Posted by Bryan Wang, Student Researcher, and Yang Li, Research Scientist, Google Research Intelligent assistants on mobile devices have significantly advanced language-based interactions for performing simple daily tasks, such as setting a timer or turning on a flashlight.

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Intelligent video and audio Q&A with multilingual support using LLMs on Amazon SageMaker

AWS Machine Learning Blog

About the authors Gordon Wang is a Senior AI/ML Specialist TAM at AWS. Guang Yang is a Senior Applied Scientist at the Amazon Generative AI Innovation Center, where he works with customers across various verticals and applies creative problem solving to generate value for customers with state-of-the-art generative AI solutions.

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