as well as in cloud providers and data center firms, all driven by the demand for large model training and inference. Additionally, in order to train these models, a new ecosystem for data processing, storage, and interaction must be put in place. AI infrastructure must evolve quickly to mak...
【论文速递】Co-NavGPT:机器人视觉目标导航+多机器人协作+GPT+未知环境 4843 -- 1:44 App 【论文速递】具身智能机器人新里程碑!!3D-VLA:上海交大+MIT联合发表,具身智能突破2D基础模型,实现3D世界模型 1079 -- 2:20 App [论文速递]Github热榜第一Large World Model:大世界模型 2837 -- 2:28 App 【论文...
TMTPOST -- In the early hours of Tuesday, the AI community was abuzz as Hugging Face announced the release of DeepSeek's latest open-source multimodal AI model, Janus-Pro. Available in two configurations with 1 billion and 7 billion parameters, the model marks a significant leap in AI capa...
or both. By connecting different sensory inputs with related concepts, these models can integrate multiple modalities, allowing for more comprehensive and nuanced problem-solving. Hence, the first crucial step in developing multimodal AI is aligning the internal representation of the model across all ...
firms, all driven by the demand for large model training and inference. Additionally, in order to train these models, a new ecosystem for data processing, storage, and interaction must be put in place. AI infrastructure must evolve quickly to make large model applications a reality, he ...
The Janus-Pro-7B model has outperformed OpenAI's DALL-E 3 and Stable Diffusion in benchmark tests such as GenEval and DPG-Bench, establishing its superiority in both image generation and understanding. Janus-Pro integrates cutting-edge advancements in multimodal AI. The model's ability to proces...
Despite tremendous success in the AI research, most of existing methods have only single-cognitive ability. To overcome this limitation and take a solid step towards artificial general intelligence (AGI), we develop a foundation model pre-trained with huge multimodal data, which can be quickly ...
An example of how multimodality can be used in healthcare. Image from Multimodal biomedical AI (Acosta et al., Nature Medicine 2022) Not only that, incorporating data from other modalities can help boost model performance. Shouldn’t a model that can learn from both text and images perform be...
The Janus-Pro-7B model has outperformed OpenAI's DALL-E 3 and Stable Diffusion in benchmark tests such as GenEval and DPG-Bench, establishing its superiority in both image generation and understanding. Janus-Pro integrates cutting-edge advancements in multimodal AI. The model's ability to proces...
Additionally, the model's limitations are critically assessed, and targeted improvement strategies are proposed. The practical implications of this study are profound, offering actionable insights for the application of multimodal AI in real-world energy sector scenarios. The findings underscore the ...