Knowledge Graph Systems in the Era of Large Models

Knowledge Graph Systems in the Era of Large Models

With the development and breakthroughs in large model technology, the combination of parametric knowledge and symbolic knowledge has become a research hotspot for empowering intelligent system applications. The deep integration of knowledge graphs and large models is an inevitable trend for achieving comprehensive, reliable, and controllable artificial intelligence. This special issue provides a comprehensive introduction … Read more

Opportunities and Challenges of MoE Large Model Training and Inference

With the development of large model technology and the proposal of the Scaling Law in 2020, it has become a consensus in the industry to improve model performance by expanding data scale and increasing model parameters. However, current large models face many engineering challenges in training, inference, and application stages. Simply increasing the model size … Read more

The Last Mile of Large Models: A Comprehensive Review of Large Model Evaluation

The Last Mile of Large Models: A Comprehensive Review of Large Model Evaluation

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 researchers from enterprises. The vision of the community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. … Read more

Introduction to Industrial Large Models in New Quality Service Industry

Introduction to Industrial Large Models in New Quality Service Industry

Editor’s Note Great Wall Strategic Consulting has been compiling and publishing the “Enterprise Research Report” since 1995, conducting in-depth analysis and development assessments in multiple fields such as technological innovation, industrial upgrading, regional development, government governance, and innovative concepts. This article is edited based on the content from the 396th issue of the Enterprise Research … Read more