Using Fine-tuned LLMs to Grade Homework

Location

Gold Coast I/II

Start Date

28-5-2025 4:00 PM

End Date

18-5-2025 4:25 PM

Description

LLMs have the potential to improve education by automatically grading homework and giving students hints. However, due to hallucinations and general lack of capabilities, using LLM for grading and giving hints has mixed results. The performance of LLMs can be improved by using methods such as prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning. In this talk, we explore the possibility of using fine-tuned LLMs to grade and give hints. Fine-tuning an LLM allows one to take a pretrained LLM, such as those built by OpenAI, and adapt the LLM for a highly specific purpose.

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May 28th, 4:00 PM May 18th, 4:25 PM

Using Fine-tuned LLMs to Grade Homework

Gold Coast I/II

LLMs have the potential to improve education by automatically grading homework and giving students hints. However, due to hallucinations and general lack of capabilities, using LLM for grading and giving hints has mixed results. The performance of LLMs can be improved by using methods such as prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning. In this talk, we explore the possibility of using fine-tuned LLMs to grade and give hints. Fine-tuning an LLM allows one to take a pretrained LLM, such as those built by OpenAI, and adapt the LLM for a highly specific purpose.