Description
Text+ operates a federated research data infrastructure designed to manage and process heterogeneous, high-dimensional datasets. To meet the increasing computational requirements of transformer-based architectures, the infrastructure has integrated GPU-accelerated environments (e.g., KISSKI) with specialized neural pipelines for automated data annotation and semantic enrichment. This framework supports Large Language Model (LLM) services that facilitate complex disambiguation tasks and natural-language-driven retrieval across distributed repositories. A critical component of the data engineering strategy involves the curation of AI-ready training corpora and the generation of derived formats to enable compliant analysis of restricted datasets. By bridging distributed high-performance computing with modular NLP workflows, Text+ provides a scalable ecosystem for reproducible, automated analysis of complex data structures across diverse scientific domains.
| MPI | GWDG |
|---|---|
| NFDI Consortium | Text+ |