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In a recent move, Microsoft’s Azure AI platform has expanded its range by introducing two advanced AI models, Llama 2 and GPT-4 Turbo with Vision. This addition marks a significant expansion in the platform’s AI capabilities.
The team at Microsoft Azure AI…
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In the digital transformation era, the three-dimensional revolution is underway, reshaping industries with unprecedented precision and depth. At the heart of this revolution lies point cloud processing – an innovative approach that captures the intricacies of our physical world in a digital…
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Diffusion models represent a cutting-edge approach to image generation, offering a dynamic framework for capturing temporal changes in data. The UNet encoder within diffusion models has recently been under intense scrutiny, revealing intriguing patterns in feature transformations during inference. These models use…
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Addressing the challenge of efficient and controllable image synthesis, the Alibaba research team introduces a novel framework in their recent paper. The central problem revolves around the need for a method that generates high-quality images and allows precise control over the synthesis…
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With the recent introduction of Large Language Models (LLMs), the field of Artificial Intelligence (AI) has significantly outshined. Though these models have successfully demonstrated incredible performance in tasks like content generation and question answering, there are still certain challenges in answering complicated,…
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In the realm of video generation, diffusion models have showcased remarkable advancements. However, a lingering challenge persists—the unsatisfactory temporal consistency and unnatural dynamics in inference results. The study explores the intricacies of noise initialization in video diffusion models, uncovering a crucial training-inference…
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In the era of edge computing, deploying sophisticated models like Latent Diffusion Models (LDMs) on resource-constrained devices poses a unique set of challenges. These dynamic models, renowned for capturing temporal evolution, demand efficient strategies to navigate the limitations of edge devices. This…
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Text-to-image diffusion models are generative models that generate images based on the text prompt given. The text is processed by a diffusion model, which begins with a random image and iteratively improves it word by word in response to the prompt. It…
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Reinforcement learning (RL) agents epitomize artificial intelligence by embodying adaptive prowess, navigating intricate knowledge landscapes through iterative trial and error, and dynamically assimilating environmental insights to autonomously evolve and optimize their decision-making capabilities. Developing generalist RL agents that can perform diverse tasks…
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Large Language Models (LLMs) have successfully utilized the power of Artificial Intelligence (AI) sub-fields, including Natural Language Processing (NLP), Natural Language Generation (NLG), and Computer Vision. With LLMs, the creation of vision-language models that can reason complexly about images, respond to queries…