以下内容翻译自SEBASTIAN RASCHKA的《Understanding Large Language Models》翻译中有删减。 原文地址:magazine.sebastianraschka.com 大型语言模型席卷了公众的注意力。在短短五年内,大型语言模型——Transformer——几乎完全改变了自然语言处理领域。此外,他们还开始革新计算机视觉和计算生物学等领域。以下列表主要按时间顺序阅...
So, gather diverse datasets, experiment with novel approaches, and push the boundaries of what’s possible. The more you explore, the more you will uncover the untapped potential and the amazing possibilities that lie within Document Understanding with Large Language models....
《MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models》论文学习 一、ABSTRACT 最新的GPT-4展示了非凡的多模态能力,例如直接从手写文本生成网站和识别图像中的幽默元素。这些特性在以往的视觉-语言模型中很少见。然而,GPT-4背后的技术细节仍然未公开。我们认为,GPT-4增强的多模态生...
As mentioned in Chapter 1 , the most significant development in AI is the introduction of generative AI. As promised, we will take a comprehensive look at generative AI. As part of this effort, we will learn new termin
TextMonkey : An OCR-Free Large Multimodal Model for Understanding Document 摘要 我们推出了 TextMonkey,这是一种专为以文本为中心的任务而定制的大型多模态模型 (LMM),包括文档问答 (DocVQA) 和场景文本分析。 我们的方法引入了跨多个维度的增强:通过采用零初始化的转移窗口注意力,我们在更高的输入分辨率下实现...
An Autonomous Intelligent Liability Determination Method for Minor Accidents Based on Collision Detection and Large Language Models With the rapid increase in the number of vehicles on the road, minor traffic accidents have become more frequent, contributing significantly to traffic con... L Zhong - ...
The team intends to use this knowledge to make large language models more efficient and easier to interpret, and they anticipate that it will be useful for others working on aspects of AI whereattentionis important, such as perception, image processing and audio processing. ...
Li, and M. Elhoseiny, “Minigpt-4: Enhancing vision-language understanding with advanced large language models,” arXiv preprint arXiv:2304.10592, 2023. [7] Y. Zhang, R. Zhang, J. Gu, Y. Zhou, N. Lipka, D. Yang, and T. Sun, “Llavar: Enhanced visual instruction tuning for ...
Talking Nonsense: Probing Large Language Models' Understanding of Adversarial Gibberish Inputs Large language models (LLMs) exhibit excellent ability to understand human languages, but do they also understand their own language that appears gibberish... V Cherepanova,J Zou 被引量: 0发表: 2024年 FT...
Since its introduction via the original transformer paper (Attention Is All You Need), self-attention has become a cornerstone of many state-of-the-art deep learning models, particularly in the field of Natural Language Processing (NLP). Since self-attention is now everywhere, it’s important ...