Related Articles: The Application of Knowledge Graphs and AI Large Language Models in the New Form of Digital Teaching for University Teachers With the rapid development of information technology, knowledge graphs, as an emerging knowledge management and teaching assistance tool, are playing an increasingly important role in higher education. This article aims to explore the … Read more
What is bibliometrics? Bibliometrics quantitatively reveals the development history, research hotspots and development directions of a specific academic field. What is the use of bibliometrics? When selecting topics and writing literature reviews, bibliometric analysis can help you quickly locate key literature, frequently published authors or institutions, and current research hotspots from a vast amount of … Read more
Beijing Bank deeply practices the concept of “One Bank, One Data, One Platform,” focusing on the “dual customer” experience and aiming for value creation. It extensively applies AIGC technology to accelerate the construction of a knowledge-driven large model application system. In 2023, the AIGC and large model industries experienced explosive growth, driving artificial intelligence to … Read more
Since the beginning of the 21st century, with the development of computer technology and the rapid iteration of hardware, human society has successively entered the Internet era, the big data era, and the artificial intelligence era. Especially after entering the second decade of the 21st century, with the resurgence of machine learning, tech giants have … Read more
The development of new generation artificial intelligence technologies such as deep learning, knowledge graphs, and reinforcement learning is driving “Internet + Education” into a new era of “smart education”. As a core driving force for the development of artificial intelligence, knowledge graphs provide new empowering capabilities for education in the era of informationization 2.0. From … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and corporate researchers. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for beginners. Source: … Read more
What Is Bibliometrics? Bibliometrics quantitatively reveals the development history, research hotspots, and development directions of a certain academic field. What Is the Use of Bibliometrics? When selecting topics and writing literature reviews, bibliometric analysis can help you quickly locate key literature, prolific authors or institutions, and current research hotspots from a vast amount of literature, … Read more
Recently, I have received many letters from readers, most of whom are just starting to explore the fields of knowledge graphs and natural language processing, and the unfamiliarity brings some insecurity, leaving them feeling a bit lost. Therefore, taking this opportunity, this article discusses the topic of “How to Get Started with Knowledge Graphs and … Read more
The research hotspot of knowledge graphs has gradually shown a tendency to emphasize quantity over structuredness, which is closely related to the prevalence of deep learning and connectionist ideas. Cognitive graphs dynamically construct knowledge graphs with contextual information based on the dual-processing theory of human cognition and perform reasoning. This article reviews the historical development … Read more
This article is approximately 9200 words long and is recommended for a reading time of over 10 minutes. This article mainly shares typical cases in the financial sector and further reflects on common issues in the implementation of large models in vertical domains. Introduction The large model from Hang Seng Electronics has been implemented in … Read more