这种方法旨在提升大型语言模型在新知识理解、区分和关联等方面的能力。这项工作的目标是让LLMs更好地应对新知识,使它们能够在新信息面前表现得更加智能和灵活。 论文标题: ALCUNA: Large Language Models Meet New Knowledge 论文链接: https://arxiv.org/pdf/2310.14820.pdf 数据集链接: https://github.com/arvid...
【LLM】ALCUNA:大型语言模型遇见新知识(ALCUNA: Large Language Models Meet New Knowledge) 虽然RAG 等方法被证明可以有效丰富 LLM 工作流程,但一个常见问题是知识不匹配。 法学LLM通常是静态的(有训练截止时间),因此注入新知识可能会产生效果和事实性问题。 过去几年,大型语言模型(LLM)取得了显著的进步,在各个领域...
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities O网页链接ChatPaper综述:大型语言模型的出现标志着人工智能领域的一个重大突破。通过规模空前的训练和模型参数,大型语言模型的能力得到了显著提升,在理解、语言合成和常识推理等方面表现得几乎与人类相当。这种通用人工智能能力的...
There are lots of open models that can be re-trained or adapted into new models without the need to develop a whole new model. There's a lot of money being thrown at AI companies, so there are big incentives for anyone with the skills and knowledge to develop any kind of LLM to do...
Enterprises can protect their knowledge and IP by safeguarding LLMs with a relevance layer Large Language Models and Search When it comes to enterprise search, LLMs have the potential to significantly improve the search experience. For example, instead of getting back a page of results you must...
(在新选项卡中打开) 论文与出版物下载 Jigsaw Datasets 29 3 月, 2022 Jigsaw Dataset: Natural language to Python Pandas code. Two datasets (PandasEval1 and PandasEval2) described in our paper, "Jigsaw: Large Language Models meet Program Synthesis"....
Large language models utilize transfer learning, which allows them to take knowledge acquired from completing one task and apply it to a different but related task. These models are designed to solve commonly encountered language problems, which can include answering questions, classifying text, summari...
Meet Granite Ebook How to choose the right foundation model Learn how to select the most suitable AI foundation model for your use case. Read the ebook Article Discover the power of LLMs Dive into IBM Developer articles, blogs and tutorials to deepen your knowledge of LLMs. Explore the...
When this process is over, they are able to use the knowledge they have gained to create new material. Language models are a key aspect of Natural Language Processing (NLP) systems, in which users enter queries in human language to create desired results or elicit answers. The age of LLMs...
题目:When Large Language Models Meet Vector Databases: A Survey作者:Zhi Jing,Yongye Su,Yikun Han,Bo Yuan,Haiyun Xu,Chunjiang Liu,Kehai Chen4,Min Zhang 大语言模型的问题 1. 一个主要缺点是幻觉问题,其中 LLM 会产生看似合理但事实不正确或忠实的无意义信息。这背后有许多潜在原因。首先,LLM缺乏专业领域...