# AutoQuizzer Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/autoquizzer
> Markdown URL: https://aitinkerers.org/technologies/autoquizzer.md
> Technology record last updated: 2026-02-25T10:19:44Z
> Generated: 2026-10-25T06:59:57Z

AutoQuizzer: Deploy Llama 3 via Groq to instantly generate a five-question, multiple-choice quiz from any provided URL.

AutoQuizzer, developed by Stefano Fiorucci (Deepset), is your rapid quiz generation engine. The system takes a URL, extracts text using the Haystack framework, and passes it to Llama 3 (served via Groq) to generate a five-question, multiple-choice quiz in JSON format. Users can play the quiz for immediate self-assessment or task the LLM itself to answer. This dual-mode evaluation is key: the LLM can operate in a 'closed book' (parametric knowledge) or 'Web RAG' (retrieval-augmented generation with Google search snippets) setting, providing a clear performance comparison. It's a powerful, open-source demonstration for building production-grade LLM applications.

- Official technology site: https://huggingface.co/spaces/deepset/autoquizzer
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [AutoQuizzer](https://berlin.aitinkerers.org/talks/rsvp_A4dKzdg4bCQ)

- Event context: Ollama & Friends coming to AI Tinkerers Berlin — 2024-07-18 — Berlin
- Public talk page: https://berlin.aitinkerers.org/talks/rsvp_A4dKzdg4bCQ

## Related Technologies

- [Haystack](https://aitinkerers.org/technologies/haystack) ([Markdown](https://aitinkerers.org/technologies/haystack.md)) — 5 public demos
- [Llama 3](https://aitinkerers.org/technologies/llama-3) ([Markdown](https://aitinkerers.org/technologies/llama-3.md)) — 38 public demos
- [Ollama](https://aitinkerers.org/technologies/ollama) ([Markdown](https://aitinkerers.org/technologies/ollama.md)) — 79 public demos
- [RAG](https://aitinkerers.org/technologies/rag) ([Markdown](https://aitinkerers.org/technologies/rag.md)) — 148 public demos