本文将分析大语言模型训练的GPU内存需求，主要包括三个方面：训练数十亿参数基于Transformer的LLM时，每个GPU设备需要多少GPU内存；估算内存需求的公式是什么；如果模型无法匹配内存，在实践中应采取哪些措施来减少内存需求。（本文由OneFl ...

为了解决这一问题,Jin等人提出了一种名为LLM-Mixer的创新框架,旨在通过引入多尺度时间序列分解,使LLMs更好地适应时间序列预测任务。该研究的主要 ...

Learn More The team of AI researchers known as Nous Research is currently doing something unique in the fast-moving space of generative AI (at least to my knowledge): Nous is in the midst of ...

Super Venture Capitalists Bill Gurley and Brad Gerstner analyze the future of AI. The rate of improvement of large language ...

Many leading AI solutions are based on large language models (LLMs) that can generate text based on statistical analysis of ...

Consider constructing a framework that’s capable of first handling the constraints of a language model, second dealing with ...

Ask anyone in the open source AI community, and they will tell you the gap between them and the big private companies is more ...