之前的检测方法需要在与预训练数据类似的数据上训练参考模型,不适用于当下预训练开销巨大且预训练数据未知的情况(预训练只有 1 个 epoch 每个data只会看见一次也增大了检测难度); 本方法只需要测一句话中的出现可能性最低的 K% 个token(异常标记)的平均概率就可以判断训练语料是否出现这句话; 方法基于一个简单的...
论文分享:Guiding Pretraining in Reinforcement Learning with Large Language Models 这篇文章主要研究的问题领域是无监督强化学习(URL),即如何在缺乏奖励函数的情况下,通过intrinsic reward对环境进行探索。本文提出的方法ELLM(Exploring with LLMs),利用LLM给出建议目标,引导策略预训练,让agent做出更多看起来对人类有意...
Training Large Language Models (LLMs) incurs significant cost, making strategies that accelerate model convergence highly valuable. In our research, we focus on the impact of checkpoint averaging along the trajectory of a training run to enhance both convergence and generalization early in the training...
代码仓库 Guiding Pretraining in Reinforcement Learning with Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models 使用冻结图像编码器和大型语言模型的自引导语言图像预训练 摘要 由于大规模模型的端到端训练,视觉和语言预训练的成本变得越来越高。本文提出了一种通用且高效的预训练策略BLIP-2,它从现成的冻结预训练图像编...
Augmenting interpretable models with large language models during training ArticleOpen access30 November 2023 Main The pre-training (PT)/fine-tuning (FT) learning paradigm (also known as transfer learning) has had a tremendous impact on natural language processing (NLP) and related domains1,2,3. ...
Large language models require massive GPU clusters for large durations during pre-training, and the likelihood of experiencing failures increases with the training's scale and duration. When failures do occur, the synchronous nature of large language model pre-training amplifies the issue as all parti...
Pre-trained language modelsChinese corpusTransformer-XLUsing large-scale training data to build a pre-trained language model (PLM) with a larger volume of parameters can significantly improve downstream tasks. For example, OpenAI trained the GPT3 model with 175 billion parameters on 570GB English ...
To better understand this corpus, we conduct language understanding experiments on both small and large scale, and results show that the models trained on this corpus can achieve excellent performance on Chinese. We release a new Chinese vocabulary with a size of 8K, which is only one-third of...
Distributed pretraining of large language models (LLMs) on cloud TPU slices, with Jax and Equinox. - xiaoya-li/midGPT