关键字:Large Language Model、Legal Domain、SaulLM-7B、Instructional Fine-tuning、Legal Corpora 摘要 本文中,我们介绍了SaulLM-7B,这是为法律领域量身打造的大型语言模型(LLM)。SaulLM-7B拥有70亿参数,是第一个专门为了理解和生成法律文本而设计的LLM。它是基于Mistral 7B架构,并在超过300亿的英语法律语料上训练...
第一步计算,线性层:W_Q*Q+b_Q,W_K*K+b_K,W_V*V+b_V,这里W的维度为(dim_{model},dim_{qkv}),b的维度为dim_{qkv},一共有3h个线性层,所以这一步的参数个数为:(dim_{model}*dim_{qkv}+dim_{qkv})*3h。 第二步的计算为,Scaled Dot-Product Attention:在论文中这一步的计算公式为: ...
Large language models are advancing at a breathtaking rate. One vivid illustration is the result of the study I worked on with law professors and Stanford CodeX fellows Dan Katz and Michael Bommarito. We found that while GPT-3.5 failed the bar, scoring roughly in the bottom 10th percentile, G...
AI时代,大语言模型(Large Language Model,LLM)横行。 早在2020年,OpenAI就曾在一篇论文中提出一个定律:Scaling law。这个定律指的是大模型的最终性能主要与计算量、模型参数量和训练数据量三者的大小相关,而与模型的具体结构(层数/深度/宽度)基本无关。 此后,OpenAI在AI界风生水起,很多初创公司甚至科技巨头都将这...
OpenAI continues to build extremely large language models, aiming to enhance the model’s capabilities in handling multimodal data, as well as providing APIs for the development of real-world applications. Despite the mainstream popularity and adoption, real-world applications in finance utilizing their...
law informs codeBetter understanding of Large Language Models' (LLMs) legal analysis abilities can contribute to improving the efficiency of legal services, governing artificial intelligence and leveraging LLMs to identify inconsistencies in law. This paper explores LLM capabilities in applying tax law....
Large language models (LLMs) are artificial intelligence (AI) tools specifically trained to process and generate text. LLMs attracted substantial public attention after OpenAI’s ChatGPT was made publicly available in November 2022. LLMs can often answer
While large language models (LLMs) have showcased impressive capabilities, they struggle with addressing legal queries due to the intricate complexities and specialized expertise required in the legal field. In this paper, we introduce InternLM-Law, a specialized LLM tailored for addressing diverse leg...
This study explores the use of Large Language Models (LLMs), specifically GPT-4, in analysing classroom dialogue—a key task for teaching diagnosis and quality improvement. Traditional qualitative methods are both knowledge- and labour-intensive. This research investigates the potential of LLMs to ...
Using a curated dataset of summary judgment cases, we use the Large Language Model Claude 3 Opus to explore functional topics and trends. We find that Claude 3 Opus correctly classified the topic with an accuracy of 87.10%. The analysis reveals distinct patterns in the application of summary ...