SaulLM-7B: A pioneering Large Language Model for Law 相关链接:arxiv 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...
第三步的计算为线性层:我们用W_O、b_O来表示线性层中的参数,计算公式为W_O*concat(head1,...,head_h)+b_O,所以这一步的参数量为:dim_{model}*dim_{model}+dim_{model} 所以,整个多头注意力模块的参数量为: (dim_{model}*dim_{qkv}+dim_{qkv})*3h +dim_{model}*dim_{model}+dim_{model...
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...
REPLUG: Retrieval-Augmented Black-Box Language Models Atlas: Few-shot Learning with Retrieval Augmented Language Models RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions Active Retrieval Augmented Ge...
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。
large language modelsmachine learningcomputational lawlaw-informed AIlaw 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...
and the importance oflanguage complexity and real-world comparability.CCS CONCEPTS• Human-centered computing → User studies; HCI theory, con-cepts and models; • Applied computing → Law.KEYWORDSLarge language model, LLM, legal advice, generative AI, ChatGPTACM Reference Format:Eike Schneiders...
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 ...
Continual Pre-Training (CPT) on Large Language Models (LLMs) has been widely used to expand the model's fundamental understanding of specific downstream domains (e.g., math and code). For the CPT on domain-specific LLMs, one important question is how to choose the optimal mixture ratio be...
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...