Neurosymbolic artificial intelligence (NeSy ai) is a rapidly evolving field that seeks to combine the perceptual capabilities of neural networks ...
Large language models (LLMs) have gained significant attention for their versatility, but their veracity remains a critical concern. Studies have ...
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It is estimated that approximately 70 percent of the energy generated worldwide ends up as waste heat.If scientists could better ...
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One of the main challenges of Retrieval Augmented Generation (RAG) models is the efficient management of extensive contextual inputs. While ...
Large language models (LLMs) have demonstrated remarkable language generation capabilities. However, their training process, which involves unsupervised learning from large ...
Language model adaptation is a crucial area in artificial intelligence, which focuses on improving large pre-trained language models to perform ...
Adversarial attacks are attempts to trick a machine learning model into making an incorrect prediction. They work by creating slightly ...
With the recent advancement of deep generative models, the challenge of denoising has also become apparent. Diffusion models are trained ...
