From millions to billions to trillions, the parameter scale has increased, bringing huge models closer to the human level. For some time, large-scale models are likely to grow in size. There is a potential shift from simply increasing processing power to employing parallel computing, software and...
This webinar addresses how one can better collaborate and facilitate parallel development in large-scale modeling projects. It further discusses how we can enable multiple project teams to work independently, follow incremental modeling workflow, integrate them with other models, manage model data, model...
BEIJING, Jan. 23 (Xinhua) -- Large models based on algorithms, computing power and big data have become the mainstream of AI development, and have continuously empowered China's economic development. As of October 2023, 238 big models have been launched in China, according to official data. ...
我们确定了构造 OR LLMs 训练数据集的四个关键要求,并提出了OR-Instruct 数据合成框架,可以针对特定要求半自动化地创建合成数据。我们还介绍了IndustryOR benchmark,这是第一个用于测试 LLMs 在解决实际 OR 问题上的工业基准。我们将 OR-Instruct 的合成数据应用于多个 7b 大小的开源 LLMs(称为ORLMs),显著提高...
🔥🔥🔥A Survey on Multimodal Large Language Models Project Page [This Page]|Paper The first comprehensive survey for Multimodal Large Language Models (MLLMs). ✨ Welcome to add WeChat ID (wmd_ustc) to join our MLLM communication group! 🌟 ...
Furthermore, we applied the analytic hierarchy process method to prioritise the strengths and weakness of different modeling paradigms. The results of this study show that experts consider acausal modeling techniques to be suitable for modeling large scale systems, while causal techniques are considered...
The organization of papers is discussed in our survey: Large Language Models for Generative Information Extraction: A Survey. If you find any relevant academic papers that have not been included in our research, please submit a request for an update. We welcome contributions from everyone. If any...
Recent large language models (LLMs), such as ChatGPT, have demonstrated remarkable prediction performance for a growing array of tasks. However, their proliferation into high-stakes domains and compute-limited settings has created a burgeoning need for i
本文是对清华大学李彦夫教授团队最新综述“ChatGPT-Like Large-Scale Foundation Models for Prognostics and Health Management: A Survey and Roadmaps(用于装备PHM的类ChatGPT的大规模基础模型:综述和路线图)”的翻译。 原文获取:ChatGPT-Like Large-Scale Foundation Models for Prognostics and Health Management: A...
Deep learning for subgrid-scale turbulence modeling in large-eddy simulations of the atmospheric boundary layer In large-eddy simulations, subgrid-scale (SGS) processes are parameterized as a function of filtered grid-scale variables. First-order, algebraic SGS models are based on the eddy-viscosity...