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| title: Data Protection Team | |
| emoji: 👁 | |
| colorFrom: indigo | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: 4.39.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| thumbnail: >- | |
| https://cdn-uploads.huggingface.co/production/uploads/64964a906105da037e718533/aJsEdKX_7CHjvj9ismtAr.jpeg | |
| short_description: I help educators comply with data protection regulations | |
| <img src="https://i.postimg.cc/3RkhNTY9/ED-COACH-4.jpg"> | |
| Data protection is paramount when using AI in a school context, but compliance can be difficult when regulations are so complex. | |
| Fortunately, AI can help! | |
| This space answers educators' data protection related questions and uses advanced techniques to ensure responses are reliable and actionable. | |
| <img src="https://i.postimg.cc/0yHMB9W0/Screenshot-2024-07-27-at-17-18-22.png"> | |
| - It optimizes the user question for retrieval with a light HyDE strategy | |
| - It uses RAG to ground Llama3.1-70B answers in official GDPR, FERPA, and COPPA regulations | |
| - It combines RAG with a long context approach passing the entire documents to Gemini 1.5 Pro | |
| - It uses GPT-4o to synthesize the responses of these two models | |
| - It equips GTP-4o with a Chain-of-Thought system message and instructs it to detects inconsistences / potential hallucinations | |
| Simple experiments using Claude 3.5 Sonnet as a judge indicate that this approach improves the quality of responses by 5%-10% | |
| compared to a Custom GPT. | |
| The space is password-protected, but you can | |
| - Duplicate it and set your own API keys as secret | |
| - Edit the reference documents in app.py if you want to use different / additional regulations | |
| - And even duplicate [this other space](https://huggingface.co/spaces/jeremierostan/Claude_as_a_Judge) if you want to compare its performance | |
| to a Custom GPT such as [this one](https://chatgpt.com/g/g-c9WGlOr9m-data-protection-coach). | |