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...
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0笔记 摘要原文 It has been suggested that large language models such as GPT-4 have acquired some form of understanding beyond the correlations among the words in text including some understanding of mathematics as well. Here, we perform a critical inquiry into this claim by evaluating the mathem...
Understanding Large Language Models 作者:Thimira Amaratunga 出版社:Apress 副标题:Learning Their Underlying Concepts and Technologies 出版年:2023-11 页数:173 装帧:Paperback ISBN:9798868800160 豆瓣评分 评价人数不足 评价: 写笔记 写书评 加入购书单
understanding large language models understanding large language models 【释义】understanding large language models 理解大型语言模型
Large language models have taken the public attention by storm – no pun intended. In just half a decade large language models – transformers – have almost completely changed the field of natural language processing. Moreover, they have also begun to revolutionize fields such as computer vision...
如下表所示,本文提出的方法显著优于已有的其他方法。 补充材料 文本推理&符号推理的Prompt 文本推理: 符号推理: 参考资料 Liu T, Wang F, Chen M. Rethinking Tabular Data Understanding with Large Language Models[J]. arXiv preprint arXiv:2312.16702, 2023. mix self-consistency代码...
Explore the basics of Large Language Models (LLMs), how they work, their training process, and significance in AI development.
What are Large Language Models? Large language models (LLMs) are computer models that use a system called neural networks. Unlike conventional computer programmes, these systems do not have to be ‘programmed’ to do something. Instead, they use self-learning techniques, which means that they ar...
Understanding large language models: A guide for dental professionals doi:10.1002/jdd.13406Journal of Dental EducationTussie, Camila