🅰️ℹ️ Generated with GPT-4O-MINI

Introduction and First Steps

The rapid advancements in generative AI have highlighted the importance of developing language models that are not only innovative but also ethical and sovereign. This project invites participants to design an open-source large language model (LLM) tailored for Swiss citizens and businesses, addressing local needs while ensuring user privacy and transparency. To kickstart the project, begin by forming diverse teams that encompass different skill sets. Engage in brainstorming sessions to identify key user requirements and the ethical implications of your LLM. Create use cases that focus on addressing societal issues and enhancing local knowledge sharing.

Example Datasets and Resources

To support your development, consider utilizing open datasets such as:

• Swiss National Data: Access datasets from the Swiss Federal Statistical Office that include demographic, economic, and social data.
• Open Multilingual Wordnet: This resource can help in creating multilingual capabilities for your LLM.
• Common Crawl: A dataset of web pages that can aid in training the model with representative Swiss content.
• The European Data Portal: Browse datasets related to legislation, public service sectors, and socio-economic factors relevant to Switzerland.

Additionally, leverage open-source libraries like Hugging Face Transformers for building and fine-tuning your model, and explore ethical AI frameworks from organizations like the Partnership on AI.

Skills Involved

A diverse set of skills will contribute to the success of this project:

• Data Science: To analyze and curate datasets driving insights about Swiss citizen needs.
• Natural Language Processing (NLP): For building and fine-tuning the language model.
• Software Development: Essential for coding the application and ensuring alignment with open-source principles.
• Ethics and Policy Expertise: To guide the model's development in ways that uphold ethical standards and user rights.
• User Experience (UX) Design: To create intuitive interfaces and seek user feedback effectively throughout the development process.

By collaborating across these disciplines, your team can equip the community with a sovereign and ethical generative AI solution.