Model architectures Transformer visualization: https://poloclub.github.io/transformer-explainer/ Implementing LLM from scratch: https://github.com/rasbt/LLMs-from-scratch LLM agents UC Berkeley CS294/194-196 Large Language Model Agents: https://rdi.berkeley.edu/llm-agents/f24 Webshop (LLM Agent)...
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...
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 ...
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 Know...
原文链接:CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases 来源:2016ACL 问题介绍:知识库虽然能给QA提供丰富的答案,但是对于自然语言的理解仍然是一个困难的挑战,同一个问题可以有多种不同的表述。可回答的单事实(single-fact)问题比较常见,相对容易些。这类QA可以转化为实体和关...
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。
including medicine. While these models have the potential to democratize medical knowledge and facilitate access to healthcare, they could equally distribute misinformation and exacerbate scientific misconduct due to a lack of accountability and transparency. In this article, we provide a systematic and ...
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。
Large World Model (LWM)is a general-purpose large-context multimodal autoregressive model. It is trained on a large dataset of diverse long videos and books using RingAttention, and can perform language, image, and video understanding and generation. ...
Although this formalism is suitable to model information from various libraries, the present study was based on the TRANSPATH database[13] (v2009.2). Because different species (Homo sapiens, Rattus norvegicus and Mus musculus) are included in this database, species-specific reactions having the sam...