#knowledge-graphs

#knowledge-graphs

Knowledge graphs, introduced by Google in 2012, represent structured data with connections, highlighting relationships between entities such as Da Vinci and the Mona Lisa.

Large language models are mistaken for reasoning tools; they merely refine text prediction without genuine understanding, underscoring the need for knowledge graphs and RAG.

Our priority is establishing a robust mechanism for identifying personally identifiable information (PII) by leveraging advanced techniques that integrate Named Entity Recognition within diverse contexts.

In our research, we successfully designed a functional material KG by employing fine-tuned large language models (LLMs), assuring traceability throughout the information process.