AIML4OS – Work Package 12 (WP12): Large Language Models for Official Statistics

Welcome to the official repository for Work Package 12 (WP12) of the EU-funded project AIML4OS – Artificial Intelligence and Machine Learning for Official Statistics.

Purpose of this Repository

This repository collects all publicly shareable outputs, experiments, and prototypes developed within WP12, which explores the potential of Large Language Models (LLMs) to create value for statistical organisations across Europe.

WP12 focuses on:

• Prototyping use cases where LLMs can support or enhance statistical production (e.g. data handling, code translation, chatbot interfaces, and large document analysis).
• Analysing architectural implications and governance aspects of integrating LLM-based tools in public sector workflows.
• Exploring reusability and reproducibility across organisations, including with open-source and cloud-based tools.

This repository is meant to serve as a working space where ongoing development and early deliverables are documented and shared with the broader community involved in the AIML4OS project.

⚠️ Note: All content in this repository is currently under active development and experimentation. The examples and code provided are intended for demonstration and learning purposes only. They are not production-ready and should not be used in live systems.

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Repository Structure

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├── wp12_hackathon/                        
│   ├── dissemination_summary_prototype/     # Summarisation and tagging from report PDFs
│   ├── from_pdf_to_figures/                 # Prototype in early stage – details to come
│   ├── web_corner_prototype/                # Prototype in early stage – details to come
│   └── reflections-and-summary.md           # Cross-group evaluation and insights
├── sspcloud-setup.md                        # Guide to shared development environment
└── [future-deliverables]/                   # Additional outputs from WP12 to be added later