M.S. AAI Capstone Chronicles 2024

EDUCATION ASSISTANCE THROUGH A.I.

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References

(n.d.). https://www.anthology.com/about-us (n.d.). https://www.instructure.com/about A100 gpu’s offer power, performance, and efficient scalability [Accessed: April 2024]. (n.d.). https://www.nvidia.com/en-us/data-center/a100/ Buhl, N. (2023, November). Training vs. fine-tuning: What is the difference? https://encord.com/blog/training-vs-fine-tuning/#:~: text=The%20Fine%2Dtuning%20Process,- Transfer%20Learning%3A%20The&text=Pre%2Dtrained%20models%20save% 20the,data%20is%20challenging%20or%20costly. Caiza, J., & Del Alamo, J. (2013). Programming Assignments Automatic Grading: A Review of Tools and Implementations . INTED2013 Proceedings , 5691–5700. Chroma. (n.d.). The AI-Native Open-Source Embedding Database [Accessed: March 2024]. Dettmers, T., Pagnoni, A., Holtzman, A., & Zettlemoyer, L. (2023a, May). Qlora: Efficient finetuning of quantized llms [Accessed: April 2024]. https://arxiv.org/abs/2305.14314 Dettmers, T., Pagnoni, A., Holtzman, A., & Zettlemoyer, L. (2023b). Qlora: Efficient finetuning of quantized llms. Forsythe, G. E., & Wirth, N. (1965). Automatic grading programs. Communications of the ACM , 8 (5), 275–278. Gradio. (n.d.). Build & share delightful machine learning apps [Accessed: November 2023]. https://www.gradio.app/ Hu, E. J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., & Chen, W. (2021). LoRA: Low-Rank Adaptation of Large Language Models . https://arxiv.org/pdf/2106.09685.pdf

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