论文翻译:Large Language Models for User Interest Journeys (用户兴趣旅程的大型语言模型) 学习论文,本人水平有限,希望大家多多指点!基本是靠谷歌翻译+个人修正,翻译中文纯粹便于后续回头学习。 摘要 大型语言模型(LLM)在自然语言理解和生成方面表现出了令人印象深刻的能力。 然而,它们在推荐平台上更深入地了解用户和改...
检索增强型生成(RAG)是缓解大型语言模型(LLMs)幻觉现象的一种有希望的方法。然而,现有研究缺乏对检索增强型生成对不同大型语言模型影响的严格评估,这使得识别RAG在不同LLMs能力方面的潜在瓶颈变得具有挑战性。在本文中,我们系统地研究了检索增强型生成对大型语言模型的影响。我们分析了不同大型语言模型在RAG所需的4种...
Large Language Models (LLMs) are prone to generating factually incorrect information when responding to queries that involve numerical and statistical data or other timely facts. In this paper, we present an approach for enhancing the accuracy of LLMs by integrating them with Data Commons, a vast...
论文题目: A Survey of Large Language Models in Medicine: Principles, Applications, and Challenges 论文地址: https://arxiv.org/abs/2311.05112 项目地址: https://github.com/AI-in-Health/MedLLMsPracticalGuide 近期,通用大型语言模型(LLMs)如PaLM、LLaMA、GPT系列和ChatGLM在多种自然语言处理(NLP)任务中...
内容提示: Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and ComputationalNatural Language Learning, pp. 858–867, Prague, June 2007. c ?2007 Association for Computational LinguisticsLarge Language Models in Machine TranslationThorsten Brants Ashok C. Popat ...
Super excited about teaching Stanford’s first course on Large Language Models! Check the syllabus out herePositive 小明的爸爸有三个孩子,老大叫王一,老二叫王二,老三叫什么?小明 使用python写一个二分查找的代码def binary_search(arr, target):
摘要原文 In the past year, MultiModal Large Language Models (MM-LLMs) have undergone substantial advancements, augmenting off-the-shelf LLMs to support MM inputs or outputs via cost-effective training strategies. The resulting models not only preserve the inherent reasoning and decision-making capab...
evaluating large language models trained on code顺理成章的,把模型做的再大一点,训练数据集做的再大一些,计算资源再多一些,就可以生成更长的代码。这篇文章做的事情就是把GPT模型应用在代码生成上,具体来说输入函数的签名和注释(prompt),告诉模型这个函数要做什么事情,然后模型输出实现代码。 这里有三个示例,...
本文原作为论文“Retrieval-Augmented Generation for Large Language Models: A Survey”,作者为Yunfan Gao、Yun Xiong、Xinyu Gao 、Kangxiang Jia、Jinliu Pan、Yuxi Bi、Yi Dai、Jiawei Sun、Qianyu Guo、Meng Wang、Haofen Wang。该论文全面审视了大型语言模型中的RAG(检索增强生成,Retrieval-Augmented Generation)...