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An Efficient Transformer-Based AI Model to Refine Object Trajectories for Auto-Labelling
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Researchers from Waabi and the University of Toronto Introduce LabelFormer: An Efficient Transformer-Based AI Model to Refine Object Trajectories for Auto-Labelling
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Getting Started with Claude 2 API
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Researchers from China Introduce CogVLM: A Powerful Open-Source Visual Language Foundation Model
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Philosophy and Data Science —Thinking deeply about data | by Jarom Hulet | Nov, 2023
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Google DeepMind Researchers Propose a Framework for Classifying the Capabilities and Behavior of Artificial General Intelligence (AGI) Models and their Precursors
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Researchers from Cambridge have Developed a Virtual Reality Application Using Machine Learning to Give Users the ‘Superhuman’ Ability to Open and Control Tools in Virtual Reality
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Duke University Researchers Propose Policy Stitching: A Novel AI Framework that Facilitates Robot Transfer Learning for Novel Combinations of Robots and Tasks
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Rethinking Transformer Architecture for Enhanced Time Series Forecasting
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Researchers from China Propose iTransformer: Rethinking Transformer Architecture for Enhanced Time Series Forecasting
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Enhancing Sparse-view 3D Reconstruction with LM-Gaussian: Leveraging Large Model Priors for High-Quality Scene Synthesis from Limited Images
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Hands-On Imitation Learning: From Behavior Cloning to Multi-Modal Imitation Learning | by Yasin Yousif | Sep, 2024
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