LaWGPT:是一系列扩展法律术语范围并在大型==中文==法律文本数据库上进行==预训练==的模型,以增强法律领域大型模型的基本语义理解能力。该模型还在法律对话问答数据集和司法考试数据集上进行了==微调==,以增强其在法律背景下的理解和执行能力。 LexiLaw:是基于ChatGLM-6B架构进行==微调==的==中文==法律...
2023 年3 月GPT-4 发布,相较于ChatGPT 又有了非常明显的进步,并具备了多模态理解能力。GPT-4 在多种基准考试测试上的得分高于88% 的应试者,包括美国律师资格考试(Uniform Bar Exam)、法学院入学考试(Law School Admission Test)、学术能力评估(Scholastic Assessment Test,SAT)等。它展现了近乎“通用人工智能(AG...
LLMs are trained on massive datasets, which allows the models to understand and generate context-relevant content. Curated datasets are used to train LLMs for specific tasks. For example, a LLM for the legal industry might be trained on legal texts, case law, and statutes to ensure it gener...
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...
The paper explores the potential applications of Large Language Models (LLMs) like ChatGPT in the legal field, focusing on how they can enhance access to law. We begin by elucidating the fundamental workings of LLMs and their current and future general applications. The core of o...
Large language models (LLM). 更大规模的PLM,GPT3,PaLM,产生emergent abilities Researchers find that scaling PLM (e.g., scaling model size or data size) often leads to an improved model capacity on downstream tasks (i.e., following the scaling law [30]). ...
Large language models (LLMs) represent a major advance in artificial intelligence (AI) research. However, the widespread use of LLMs is also coupled with s
Large Language Models Can Self-Improve https://arxiv.org/abs/2210.11610 Evaluating Human-Language Model Interaction https://arxiv.org/abs/2212.09746 Large Language Models can Learn Rules https://arxiv.org/abs/2310.07064 AgentBench: Evaluating LLMs as Agents https://arxiv.org/abs/2308.03688 ...
this just assumes that each output that was actually generated was equally probable—estimating the underlying distribution as the categorical empirical distribution. In the limit ofMthe estimator converges to equation (5) by the law of large numbers. We find that discrete semantic entropy results in...
Large language models (LLMs) such as Open AI’s GPT-4 (which power ChatGPT) and Google’s Gemini, built on artificial intelligence, hold immense potential to support, augment, or even eventually automate psychotherapy. Enthusiasm about such applications is mounting in the field as well as indu...