The recent surge in the popularity of 3D diffusion models is transforming the landscape of 3D asset generation, particularly in applications such as Augmented Reality (AR), Virtual Reality (VR), robotics, and gaming. These models excel in simplifying the complex 3D asset creation process, significantly reducing the manual workload involved. However…

Language models have demonstrated exceptional performance across various real-world applications. However, at contemporary scales, the conventional training method employing standard backpropagation introduces formidable engineering and infrastructure challenges. The difficulty lies in co-locating and synchronizing a large number of accelerators. In response to this challenge, in a new paper DiLoCo: Distributed…

The quest to develop a single, versatile model capable of performing diverse tasks akin to human abilities has been a longstanding pursuit in the realms of artificial intelligence and neuroscience. Recent strides in the realm of large language models (LLMs) have presented a promising avenue for creating such generalist models…

The ever-expanding scale of language models, now boasting tens of billions of parameters, has undeniably enhanced performance across diverse tasks. However, the consequential surge in computation costs poses a significant hurdle for real-world applications. In a bid to overcome this challenge, researchers are diligently working to enhance the efficiency of…

The continuous scaling of Large Language Models (LLMs) such as GPT-4 and PaLM-2, with an increasing number of parameters, has revealed unprecedented emergent abilities, most notably the remarkable capacity for zero-shot reasoning. As these models evolve and gain more power, researchers are now delving into the possibility of these models…

Large training datasets have become integral to the field of machine learning, serving as the bedrock for recent breakthroughs in language modeling and multimodal learning. Despite their pivotal role, these datasets are seldom the focal point of active research, with many large-scale training sets remaining unreleased. This lack of accessibility…

The concept of instantly generating a 3D representation from a single image of any object is undeniably captivating. This breakthrough promises to significantly advance applications in industrial design, animation, gaming, and the realms of Augmented Reality (AR) and Virtual Reality (VR). Besides, the remarkable achievements in natural language processing and…

Diffusion models have garnered significant recognition for their outstanding performance in a wide range of image and audio generation tasks. Text-to-speech (TTS) systems employing diffusion models have proven their mettle by delivering high-fidelity speech that stands on par with state-of-the-art systems. Nonetheless, many existing TTS systems face a litany of…

Large Language Models (LLMs) have ushered in an era of unparalleled language understanding capabilities, raising the possibility of harnessing their prowess for complex embodied visual tasks. This new frontier explores whether these models can be the cornerstone of adaptable, generalizable policies for decision-making that seamlessly transfer to novel scenarios. In…