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[2024-03]We release a new paper: "KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents". 🔧Installation To get started with KnowAgent, follow these simple installation steps: git clone https://github.com/zjunlp/KnowAgent.gitcdKnowAgent pip install -r requirements.txt ...
espnet: End-to-End Speech Processing Toolkit espnet.github.io/espnet pythia: A software suite for Visual Question Answering UnsupervisedMT: Phrase-Based & Neural Unsupervised Machine Translation. jiant: The jiant sentence representation learning toolkit. 二. 计算机视觉 pytorch vision : Datasets, Transfor...
Zero-based index of the word; first word has index 0, second word has index 1 and so on StartPosition StartPosition integer Zero-based character offset at which the word begins in the input string EndPosition EndPosition integer Zero-based character offset at which the word ends in th...
GitHub链接：https://github.com/PaddlePaddle/Knover/tree/develop/projects/PLATO-2 近期一些端到端的对话生成模型，通过更大的模型规模、更多的训练语料，获得了更加优秀的对话生成能力。PLATO-2 承袭了 PLATO 隐变量进行回复多样化生成的特性，模型参数规模上升到了 16 亿。考虑到精细化的引入隐变量的网络训练，计算...
Zero-based index of the word; first word has index 0, second word has index 1 and so on StartPosition StartPosition integer Zero-based character offset at which the word begins in the input string EndPosition EndPosition integer Zero-based character offset at which the word ends in th...
google-research/bertgithub.com/google-research/bert BERT自18年10月问世以来,就引起了NLP业界的广泛关注。毫不夸张的说,BERT基本上是近几年来NLP业界意义最大的一个创新,其意义主要包括 大幅提高了GLUE任务SOTA performance(+7.7%),使得NLP真正可以应用到各生产环境中,大大推进了NLP在工业界的落地 ...
第二,对比两种模式的任务效果,第一种模式是用较大的领域专用数据进行Fine-tuning,第二种是few-shot prompting或instruct-based方法。如果第二种方法效果达到或超过第一种方法,则意味着这个领域没有继续独立存在的必要性。如果用这个标准来看,其实很多研究领域,目前fine-tuning效果还是占优的(因为这种模式领域训练数据量...
espnet: End-to-End Speech Processing Toolkit espnet.github.io/espnet pythia: A software suite for Visual Question Answering UnsupervisedMT: Phrase-Based & Neural Unsupervised Machine Translation. jiant: The jiant sentence representation learning toolkit. ...
GitHub链接: https://github.com/PaddlePaddle/Knover/tree/develop/projects/PLATO-2 近期一些端到端的对话生成模型,通过更大的模型规模、更多的训练语料,获得了更加优秀的对话生成能力。PLATO-2 承袭了 PLATO 隐变量进行回复多样化生成的特性,模型参数规模上升到了 16 亿。考虑到精细化的引入隐变量的网络训练,计算消...