Authors: Syed Hasib Akhter Faruqui, Nazia Tasnim, Iftekhar Ibne Basith, Suleiman Obeidat, Faruk Yildiz

Published on: May 01, 2024

Impact Score: 7.8

Arxiv code: Arxiv:2405.00330

Summary

• What is new: Introducing ‘SAMCares,’ an innovative study buddy using LLaMa-2 70B and Retriever-Augmented Generation (RAG) for real-time, context-aware educational support.
• Why this is important: The educational landscape struggles with inclusivity and catering to diverse learning needs with current assistive technologies lacking dynamic adaptability.
• What the research proposes: ‘SAMCares’ uses a Large Language Model with a custom web-based GUI and RAG for adaptive educational support, allowing for the upload of additional study materials.
• Results: The efficacy of ‘SAMCares’ will be evaluated through controlled trials and feedback, focusing on its adaptability and context-specific assistance.

Technical Details

Technological frameworks used: Retriever-Augmented Generation (RAG), custom web-based GUI

Models used: LLaMa-2 70B

Data used: Sam Houston State University (SHSU) course notes

Potential Impact

Educational technology platforms, online learning resources, and traditional assistive learning technologies.

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