Pre-Trained LLM and PEFT: 论文使用了GPT-2作为backbone。为了保留模型的基本知识,论文冻结了大部分参数,特别是Transformer模块内的多头注意力和前馈层所涉及的参数。论文融合了两种参数高效微调技术(PEFT),层归一化调整( Layer Normalization Tuning )和 LoRA(LowRank Adaptation)来提高模型面对未知数据的泛化性能和灵活...
Pretrained model是指通过大量的数据训练出的大模型,可以直接或者fine tune后用在新的任务上(如果不是大模型,用少量数据训练的小模型能直接用在新的任务上也可以,但是一般来说少量数据没有强大的迁移能力,所以一般都是指大模型)。我把pretained model分为三类:图像大模型,语言大模型(LLM),Meta learning(一般指few-...
【LLM系列之GPT】GPT(Generative Pre-trained Transformer)生成式预训练模型,GPT(GenerativePre-trainedTransformer)是由OpenAI公司开发的一系列自然语言处理模型,采用多层Transformer结构来预测下一个单词的概率分布,通过在大型文本语料库中学习到的语言模式来生成
Large Language Models (LLMs) have in recent years demonstrated impressive prowess in natural language generation. A common practice to improve generation diversity is to sample multiple outputs from the model. However, there lacks a simple and robust way of s...
GPT(Generative Pre-trained Transformer)是由OpenAI公司开发的一系列自然语言处理模型,采用多层Transformer结构来预测下一个单词的概率分布,通过在大型文本语料库中学习到的语言模式来生成自然语言文本。GPT系列模型主要包括以下版本: GPT-1 发布于2018年,参数规模为1.17亿。模型采用Transformer进行特征抽取,首次将Transformer...
LLMs are nowadays routinely used and studied for downstream tasks and specific applications with great success, pushing forward the state of the art in almost all of them. However, they also exhibit impressive inference capabilities when used off the shelf without further training. In this paper,...
PLLM-CS: Pre-trained Large Language Model (LLM)for Cyber Threat Detection in Satellite NetworksMohammed Hassanin a , Marwa Keshk b , Sara Salim b , Majid Alsubaie c ,Dharmendra Sharma ca the University of South Australia (UniSA), SA, Australiab University of New South Wales, Canberra, ...
预训练模型（Pretrained Model）指的是通过大量数据进行训练的大型模型，这类模型能够直接应用于新任务，或是经过微调以适应特定需求。预训练模型主要分为三类：图像大模型、语言大模型（LLM）和元学习模型。图像大模型如ResNet，语言大模型则通常基于Transformer架构，如Bert系列和GPT系列。本文以Bert为例，...
In this work, we leverage pre-trained Large Language Models (LLMs) to enhance time-series forecasting. Mirroring the growing interest in unifying models for Natural Language Processing and Computer Vision, we envision creating an analogous model for long-term time-series forecasting. Due to limited...
What effort is involved in fine-tuning a pre-trained LLM to perform language translation? What effort is involved in fine-tuning a pre-trained LLM along with additional components to build a ChatGPT kind of application? Do you recommend any blog posts or discussion threads that address these ...