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Researchers from ETH Zurich and Microsoft Introduce EgoGen: A New Synthetic Data Generator that can Produce Accurate and Rich Ground-Truth Training Data for EgoCentric Perception Tasks
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TikTok Researchers Introduce ‘Depth Anything’: A Highly Practical Solution for Robust Monocular Depth Estimation
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This Paper Reveals The Surprising Influence of Irrelevant Data on Retrieval-Augmented Generation RAG Systems’ Accuracy and Future Directions in AI Information Retrieval
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Microsoft Researchers Introduce StrokeNUWA: Tokenizing Strokes for Vector Graphic Synthesis
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Encoding Categorical Variables: A Deep Dive into Target Encoding | by Juan Jose Munoz | Feb, 2024
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Google Deepmind and University of Toronto Researchers’ Breakthrough in Human-Robot Interaction: Utilizing Large Language Models for Generative Expressive Robot Behaviors
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Meet Eagle 7B: A 7.52B Parameter AI Model Built on the RWKV-v5 architecture and Trained on 1.1T Tokens Across 100+ Languages
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This AI Paper from China Introduces SegMamba: A Novel 3D Medical Image Segmentation Mamba Model Designed to Effectively Capture Long-Range Dependencies within Whole Volume Features at Every Scale
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Advanced ETL Techniques for Beginners | by 💡Mike Shakhomirov | Feb, 2024
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This AI Paper from NTU and Apple Unveils OGEN: A Novel AI Approach for Boosting Out-of-Domain Generalization in Vision-Language Models
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Recent Posts
Enhancing Sparse-view 3D Reconstruction with LM-Gaussian: Leveraging Large Model Priors for High-Quality Scene Synthesis from Limited Images
MIT Researchers Introduce Stochastic Quantum Signal Processing (QSP) as a Randomly-Compiled Version of QSP, and Reduce the Cost of QSP-based Algorithms by a Factor of 1/2
Hands-On Imitation Learning: From Behavior Cloning to Multi-Modal Imitation Learning | by Yasin Yousif | Sep, 2024
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