Summary of Jill Watson: a Virtual Teaching Assistant Powered by Chatgpt, By Karan Taneja and Pratyusha Maiti and Sandeep Kakar and Pranav Guruprasad and Sanjeev Rao and Ashok K. Goel
Jill Watson: A Virtual Teaching Assistant powered by ChatGPT
by Karan Taneja, Pratyusha Maiti, Sandeep Kakar, Pranav Guruprasad, Sanjeev Rao, Ashok K. Goel
First submitted to arxiv on: 17 May 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces Jill Watson, a conversational Virtual Teaching Assistant (VTA) built upon ChatGPT, requiring no prior training and featuring a modular design for integrating new APIs using a skill-based architecture inspired by XiaoIce. Jill Watson can process and converse using multiple large documents, making it suitable for intelligent textbooks. The system outperforms legacy knowledge-based Jill Watson as well as the OpenAI Assistants service in comparative analysis. Safety measures are employed to reduce instances of hallucinations and toxicity. Real-world examples from a classroom setting demonstrate different features of Jill Watson and its effectiveness. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Jill Watson is an AI assistant that can talk like a person. It’s special because it doesn’t need to be trained beforehand, which makes it easy to use with new information. The creators designed it so it can learn new skills by connecting to other systems. This means Jill Watson can help with big tasks like processing and talking about many documents at once. In fact, it’s great for creating smart textbooks! The paper shows that this AI assistant is better than some others because it’s more accurate and safe. You’ll see how it works in real-life classroom examples. |
