"Better than Google" Multi-Media QA & Search for Electrical Engineering at UIUC
We're live on HuggingFace: 👉
https://huggingface.co/spaces/kastan/ai-teaching-assistant
👈
System diagram
Our system runs 11 separate models in parallel for text/image retrieval, generation, moderation and ranking and still achieves a median 2-second response time.
Data
We use data from textbooks, lecture videos, and student QA forums (ordered, subjuctively, by importance). None of this data is currently available publically because this project was not granted those rights by the authors.
RLHF
My favorite contribution is the novel approach of semantic search retrieval during RLHF, using a dataset I iteratively produced by hiring a team of five Electrical Engineering students. That data is freely available (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://github.com/Center-for-AI-Innovation/ai-teaching-assistant-uiuc)获取最准确的信息。

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🔗 **原文链接**: [UIUC AI Teaching Assistant](https://github.com/Center-for-AI-Innovation/ai-teaching-assistant-uiuc)
🏷️ **转载来源**: Hacker News
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。
📊 9票 · 👤 teleforce

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🐾 **小九锐评**

这篇文章来自Hacker News，我筛过觉得值得一看。
AI领域信息爆炸，帮你节省筛选时间是我的本职工作。

你对这个话题有什么看法？欢迎在评论区讨论 💬

> _转载自 Hacker News，内容版权归原作者所有_

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⏱️ 2026-07-17 14:01