Large Language Models (LLMs) have shown impressive natural language creation and interpretation abilities. Examples of these models are GPT, Claude, Palm, and Llama. Numerous...
How can Neural Radiance Fields (NeRFs) be improved to handle scale variations and reduce aliasing artifacts in scene reconstruction? A new research paper from...
The team of researchers from the University of Illinois at Urbana Champaign and Tsinghua University aimed to address the challenge of generating low-bias and...
In software development, teams often face challenges when working with sensitive production data for testing and development purposes. The need to balance data privacy...
Recently, there have been significant advancements in video editing, with editing using Artificial Intelligence (AI) at its forefront. Numerous novel techniques have emerged, and...
Classical mechanics deals with the motion of objects, the forces acting on them, and the energy associated with their activity. Quantum mechanics is a...
The capabilities of Artificial Intelligence (AI) and Machine Learning (ML) have successfully enabled them to enter into every possible industry. With the introduction of...
The intersection of computer vision and natural language processing has long grappled with the challenge of generating regional captions for entities within images. This...
Can We Optimize Large Language Models More Efficiently? A research team consisting of researchers from multiple organizations like Microsoft, the University of Southern California,...
Researchers from Hong Kong University of Science and Technology, Carnegie Mellon University, and Dartmouth College developed The SANeRF-HQ (Segment Anything for NeRF in High...
Understanding large language models (LLMs) and promoting their honest conduct has become increasingly crucial as these models have demonstrated growing capabilities and started widely...
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