《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 1 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...
Online PlatformsUser EngagementLarge Language Models (LLMs) such as ChatGPT and Bard have been widely recognized as one of the fastest-growing technologies in history. They have gained considSanatizadeh, AidaLu, YingdaZhao, KeranHu, Yuheng
Unleashing the Potential of Large Language Models for Knowledge Augmentation: A Practical Experiment on Incremental Sheet Forming As the influence of Incremental Sheet Forming (ISF) grows in manufacturing sectors, so does the demand for precise and updated knowledge construction in th... H Fan,J Fuh...
摘要原文 Large Language Models (LLMs) have not only exhibited exceptional performance across various tasks, but also demonstrated sparks of intelligence. Recent studies have focused on assessing their capabilities on human exams and revealed their impressive competence in different domains. However, cognit...
The past few months have seen the tech industry bickering over the potential of large language models — tools that generate output in a human-like manner. And while the gains like full-on automation are still a far cry from utilitarian cases, some large language model benefits have already...
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...
for bias’, due to limitations of data used to train the large language models (LLM), inability to deal with complex and specialized subjects that require ‘practical skills, and hands-on experience’, ‘privacy and security of students’ data’, ‘high development costs’, the need for ‘...
Secure AI: The training of Large Language Models (LLMs) for AI applications in academic research spotlights the importance of data security. 4th Gen Intel Xeon Scalable processors, hardened with Intel Software Guard Extensions (Intel SGX) or Intel Trust Domain Extensions (Intel TDX), provide deep...
Recently, large language models (LLMs) like GPT-3 have shown impressive abilities in areas like mathematical reasoning and commonsense knowledge. However, their basic text generation method — left-to-right, token-by-token — can limit strategic planning and exploration. The paper shows this appr...
🤣👉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...