Deutsche Nationalbibliothek
metadata only
How can locally deployed large language models improve dataset discovery in open government data portals? / Tobias Siebenlist, Jennifer Gnyp
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- ServiceNow-AI/R1-Distill-SFT#786650
- Agentic coding without the cloud: evaluating open-weight large language models on longitudinal data preparation tasks#394448
- HuggingFaceTB/smollm-corpus#786573
- What Is The Political Content in LLMs' Pre- and Post-Training Data?#1050768
- Toolcompass: Guiding Tool Trialing, Not Suppressing It#1061313
Record · ID 983226
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive