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NYU and Intel Researchers Introduce Image Sculpting: A New Artificial Intelligence Framework for Editing 2D Images by Incorporating Tools from 3D Geometry and Graphics
The existing 2D image editing methods face a substantial amount of limitations as they heavily rely on textual instructions, leading to ambiguity and restricted control. This confined nature of these methods within 2D spaces hinders the direct manipulation of object...
Q-Refine: A General Refiner to Optimize AI-Generated Images from Both Fidelity and Aesthetic Quality Levels
Creating visual content using AI algorithms has become a cornerstone of modern technology. AI-generated images (AIGIs), particularly those produced via Text-to-Image (T2I) models, have gained prominence in various sectors. These images are not just digital...
Meet VTC (Virtual Token Counter): The First Fair Scheduler for Large Language Model LLMs Serving
The pursuit of fairness in Large Language Models (LLMs) is the primary concern addressed in recent research that recognizes the distinctive qualities associated with LLM deployment. At the core of the matter lies the imperative task of guaranteeing impartiality in...
Do Large Language Models (LLMs) Relearn from Removed Concepts?
In the advancing field of Artificial Intelligence (AI) and Natural Language Processing (NLP), understanding how language models adapt, learn, and retain essential concepts is significant. In recent research, a team of researchers has discussed neuroplasticity and the...
This Paper Explores Generative AI’s Evolution: The Impact of Mixture of Experts, Multimodal Learning, and AGI on Future Technologies and Ethical Practices
Generative Artificial Intelligence, characterized by its focus on creating AI systems capable of human-like responses, innovation, and problem-solving, is undergoing a significant transformation. The field has been revolutionized by innovations like the Gemini model...
2023: The Year of Large Language Models LLMs
In 2023, the field of artificial intelligence witnessed significant advancements, particularly in the field of large language models. The landscape showcased progress, marking an intermediate stage between prior breakthroughs and the anticipation of more powerful...





