Unveiling "Continuous Diffusion for Categorical Data Estimation for LLMs" The CDCD framework harmoniously integrates continuous and discrete data generation methodologies, capitalizing on their respective strengths
Aug 1714 minUnveiling "Continuous Diffusion for Categorical Data Estimation for LLMs" The CDCD framework harmoniously integrates continuous and discrete data generation methodologies, capitalizing on their respective strengths
Aug 167 minImportance of Alignment in LLMsAligning LLM with human preferences is not just a technical feat, but a pivotal factor in ensuring the effectiveness of LLM applications.
Jun 2110 minA glimpse of the general agent–GATO GATO can sense and act with different embodiments across a wide range of environments using a single neural network with common weights.
Jun 913 minExploring Geometric Deep Learning and its Impactful ApplicationsThe key idea behind geometric deep learning is to develop neural network architectures that can operate directly on geometric data.
May 1911 minBeyond Unimodal: Embracing Multimodal Deep Learning for Enhanced AIMultimodal deep learning is a subfield of machine learning that combines multiple sources of data to gain understanding.
May 1114 minUnderstanding CLIPThe reason why CLIP is so effective in zero-shot learning is because of the contrastive learning approach to jointly train a neural network.
Feb 228 minLeveraging Reasoning-Modulated Representations for MRI and CT scan: A case study Reasoning-modulated representations aim to create AI systems that are not just data-driven, but also capable of understanding and reasoning.
Feb 113 minNAS + Reinforcement learning: A reviewNeural architecture search (NAS) is a method for automatically discovering the best neural network architecture for a given task.
Jan 15, 202113 minHuman-Machine IntelligenceThe human brain is an amazing biological organ that dictates a human's life altogether right from the time the person is born to death.