《Exploring Large Language Models for Knowledge Graph Completion》解读 Wu-Allin 误入歧途的草台班子 算法工程师 2 人赞同了该文章 Abstract 知识图谱在人工智能应用中发挥着重要作用,但是它面对着不完备的风险。适用知识图谱的三元组作为文本序列,引入了KG- LLM框架。适用三元组的实体和关系描述作为prompt,将响应回...
large language modelChatGPTmedical educationBackground: The integration of large language models (LLMs) into medical education has received increasing attention as a potential tool to enhance learning experiences. However, there remains a need to explore radiology postgraduate students' engagement with ...
The existing methods for evaluating the inference abilities of Large Language Models (LLMs) have been predominantly results-centric, making it challenging ... S Lee,W Sim,D Shin,... 被引量: 0发表: 2024年 KnowledgeNavigator: leveraging large language models for enhanced reasoning over knowledge ...
Since the advent of OpenAI's ChatGPT, large language models (LLMs) have become significantly popular. These models, trained on vast amounts of data, can answer written user queries in strikingly human-like ways, rapidly generating definitions to specific terms, text summaries, context-specific su...
Exploring the performance of large language models on hepatitis B infection-related questions: A comparative study Yu Li, Chen-Kai Huang, Yi Hu, Xiao-Dong Zhou, Cong He, Jia-Wei Zhong Yu Li, Chen-Kai Huang, Yi Hu, Xiao-Dong Zhou, Cong He, Jia-Wei Zhong,Department of Gastroenterology, ...
This study explores the impact of ChatGPT, an advanced Large Language Model (LLM), as a virtual tutor in online education across five key dimensions: answe
Introducing Knowledge + Chat Dive into a more interactive learning experience with Knowledge's new Chat feature! Engage in dynamic conversations with your Projects and Sources, leveraging the power of Large Language Models. Ask questions, explore concepts, and deepen your understanding, all within an...
🤣👉Click[project page]for more funny examples👈. 🤣 Introduction To the best of our knowledge, we are the first to profoundly explore the Leap-of-Thought (LoT) ability in multimodal large language models (LLMs). This involves challenging LLMs tothink outside the box, a non-sequentia...
The maturity of cloud computing, semiconductors, and data collection, combined with advancements in large language models, has created a perfect storm for AI innovation. Kotran emphasizes the critical need for proficiency in using AI tools, including an awareness of their limitations and eth...
Large language models (LLMs) acquire extensive knowledge during pre-training, known as their parametric knowledge. However, in order to remain up-to-date and align with human instructions, LLMs inevitably require external knowledge during their interactions with users. This raises a crucial question...