利用由数千块高性能GPU 和高速网络组成超级计算机,花费数十天完成深度神经网络参数训练,构建基础语言模型(Base Model)。基础大模型构建了长文本的建模能力,使得模型具有语言生成能力,根据输入的提示词(Prompt),模型可以生成文本补全句子。也有部分研究人员认为,语言模型建模过程中也隐含的构建了包括事实性知识(Factual ...
Described herein is a machine learning mechanism implemented by one or more computers, the mechanism having access to a base neural network and being configured to determine a simplified neural network by iteratively performing the following set of steps: forming sample data by sampling the ...
In the realm of drug R&D, large models can expedite the process of new drug research and development, and achieve highly efficient, innovative, and personalized drug design and discovery by using natural language processing, knowledge graphs, and molecular modeling. As a deep learning model with h...
"temperature": 0.5, }) modelId = "mistral.mistral-large-2402-v1:0" accept = "application...
MaxKB It is based on LLM Big Language Model Knowledge Base Questions System. MaxKB = Max Knowledge Base, It is designed to be the strongest brain of the company. Open the box.:Support for direct upload of documents. Automatic retrieval of online documents, Support text automatic separation. ...
python examples/generate_lora.py --base_model zjunlp/knowlm-13b-zhixi --run_ie_cases The result in section 2.2 can be obtained. If you want to reproduce the results in section 2.3(general abilities cases), please run the following command: python examples/generate_lora.py --base_model zj...
2.1 Large Language Model(LLMs) 主要依靠transformer和注意力机制 分类如上所示。 LLM根据结构分类如下: 2.1.1 Encoder-only LLMs 主要根据输入句子来预测mask words。 主要应用在文本分类,实体识别领域。 2.1.2 Encoder-decoder LLMs 将输入文本编码至隐藏层,再生成目标文本。
该模型参数求解可以直接套用Log Bi-Linear和Hierarchical NNLM的方式,其中不同之处,Hinton提出了一种新的简单的构建层次结构的方法:通过递归的使用二维的高斯混合模型(GMM,Gaussian Mixture Model)进行聚类,直到每个cluster中仅包含两个词,这样所有的结果就构成一个二叉树。
Explore and analyze the Top Large Language Model (LLM) security solutions with features. Pick the best LLM security tool of your choice to fit your enterprise requirements perfectly: However, they also introduce significant risks, particularly around data security. Employees may inadvertently use levera...
python examples/generate_lora.py --base_model zjunlp/knowlm-13b-zhixi --run_general_cases The result in section2.3can be obtained. 2. Usage of Pretraining Model We offer two methods: the first one iscommand-line interaction, and the second one isweb-based interaction, which provides greate...