OA-CNNs: Enhancing the Adaptivity of Sparse Convolutional Neural Networks at Minimal Computational Cost
The field of computer vision has made significant strides in recent years, with Convolutional Neural Networks (CNNs) playing a pivotal
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Author: Ritvik Vipra
Guiding AI with Human Values: Upstage AI’s sDPO Method Enhances Language Models for Ethical Alignment
Have you ever wished for an AI assistant who possesses immense knowledge and understands and respects your values, ethics, and
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NVIDIA AI Research Proposes LITA: Enhancing Temporal Localization Using Video LLMs
Large Language Models (LLMs) have been revolutionizing various natural language processing tasks, demonstrating impressive instruction-following capabilities. These models have the
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OpenAI Sets Sight on Voice Assistant Market with New ‘Voice Engine’ Trademark
In a bold move that signals a potential shift in the digital voice assistant market, OpenAI, the maker of ChatGPT,
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Introducing CLoVe: Enhancing Compositionality in Vision-Language Models
In recent years, the field of Vision-Language Models (VLMs) has witnessed remarkable advancements. Models like CLIP have demonstrated impressive performance
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Exploring bGPT: A Deep Learning Model with Next-Byte Prediction
In the rapidly advancing field of artificial intelligence (AI), researchers are constantly pushing the boundaries to develop models that can
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IBM Research Unveils SimPlan: Bridging the Gap in AI Planning with Hybrid Large Language Model Technology
Artificial Intelligence (AI) has made significant strides in recent years, revolutionizing industries and transforming the way we live and work.
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Harnessing Ray Diffusion for Enhanced 3D Reconstruction: CMU Researchers Unveil Groundbreaking AI Method for Camera Pose Estimation
Introduction In the pursuit of high-fidelity 3D representations from sparse images, accurate camera pose estimation has always been a significant
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Meet CodeMind: A Machine Learning Framework Designed to Gauge the Code Reasoning Abilities of LLMs
Large Language Models (LLMs) have revolutionized the field of artificial intelligence, particularly in their ability to interpret and generate human
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Meet Swin3D++: An Enhanced AI Architecture for Efficient Pretraining on Multi-Source 3D Point Clouds
In the field of 3D understanding, point clouds serve as a prevalent representation of 3D data. Extracting point-wise features is
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