Enhance LLMs' Explainability and Trustworthiness With 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.
LLMs aren't enough for real-world, real-time projects
Large language models are mistaken for reasoning tools; they merely refine text prediction without genuine understanding, underscoring the need for knowledge graphs and RAG.
How to Develop a Privacy-First Entity Recognition System | HackerNoon
The integration of Named Entity Recognition with knowledge graphs enhances the identification of personally identifiable information in text sanitization.
Scientists Built a Smarter, Sharper Materials Graph by Teaching AI to Double-Check Its Work | HackerNoon
In our research, we successfully designed a functional material KG by employing fine-tuned large language models (LLMs), assuring traceability throughout the information process.