large language modelexperimental designcomputer systemintelligent collaborationsystem capacityDisruptive intelligent technologies, such as large language models, are rapidly advancing and reshaping productivity, posing challenges to traditional knowledge-driven teaching models and setting new expectations for talent ...
LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models Shizhe Diao, Rui Pan, Hanze Dong, Kashun Shum, Jipeng Zhang, Wei Xiong, T. Zhang 2023 Towards Training A Chinese Large Language Model for Anesthesiology...
Vectors, which are unique strings of numbers calculated to represent unstructured data, let companies add context to generic large language models (LLMs). Vectors enable rapid semantic search of the unstructured data they represent, a critical capability for uses such as making product recommendations ...
LISA: REASONING SEGMENTATION VIA LARGELANGUAGE MODEL GROUNDHOG : Grounding Large Language Models to Holistic Segmentation GSVA: Generalized Segmentation via Multimodal Large Language Models Datasets 简称论文出版下载地址简介 RRefCOCO Toward Robust Referring Image Segmentation TIP2024 github.com/jianzongwu/r 在...
General language model是一种基于深度学习的自然语言处理模型,它具有广泛的应用领域和重要性。它通过大规模的语料库进行训练,以学习语言的潜在结构、语义和上下文依赖关系。具体而言,general languagemodel使用概率模型来预测一个给定上下文下的下一个单词或字符,从而实现对语言的理解和生成。 在过去的几年中,general lang...
added an auxiliary task asking the large language model to identify the authorship of a particular text to improve its reading abilities. They hope that by giving the model this challenge, it will be able to interpret the provided text more accurately and...
In this paper, we study how to improve the zero-shot reasoning ability of large language models~(LLMs) over structured data in a unified way. Inspired by the study on tool augmentation for LLMs, we develop an \emph{Iterative Reading-then-Reasoning~(IRR)} approach for solving question answe...
将模型的参数增加到 410M(GPT Large 的 1.25)导致性能接近GPT Large。 GLM515M ( GPT Large的 1.5 )可以进一步超越GPT Large。 4 结论 GLM是一种用于自然语言理解和生成的通用预训练框架。论文展示了NLU任务可以被形式化为条件生成任务,因此可以由自回归模型解决。GLM将不同任务的预训练目标统一为自回归空白填充,...
Large Multimodal Models: Training with LLM (除了CLIP,多模态模型,还能怎么玩?) 什么是多模态模型? 多模态意思是多种模态的信息处理,包括text, vision, audio, depth etc,正如imagebind[1]中所做的那样,而目前技术水平,讨论的是image-to-text generative model,如下图所示。 常见的多模态模型的类别 LMM traine...
De novo generation of SARS-CoV-2 antibody CDRH3 with a pre-trained generative large language model Article Open access 10 August 2024 Main Evolution searches across an immense space of possible sequences for rare mutations that improve fitness1,2. In nature, this search is based on simple pr...