Summary of Assessing Personalized Ai Mentoring with Large Language Models in the Computing Field, by Xiao Luo et al.
Assessing Personalized AI Mentoring with Large Language Models in the Computing Field
by Xiao Luo, Sean O’Connell, Shamima Mithun
First submitted to arxiv on: 11 Dec 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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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 provides an evaluation of three state-of-the-art Large Language Models (LLMs) for personalized career mentoring in computing. Three distinct student profiles are considered, including gender, race, and professional levels. GPT-4, LLaMA 3, and Palm 2 are evaluated using a zero-shot learning approach without human intervention. A custom NLP analytics pipeline is used to analyze the responses, highlighting unique words reflecting each student’s profile. The analysis shows that GPT-4 offers more personalized mentoring compared to the other two LLMs. Human experts’ survey responses also indicate that GPT-4 delivers more accurate and useful mentoring while addressing specific challenges. This work establishes a foundation for developing personalized mentoring tools using LLMs, incorporating human mentors for a more impactful experience. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at three powerful language models to help students choose careers in computing. The researchers created special profiles for three types of students: men, women, and people from different racial backgrounds, as well as those with varying levels of experience. They tested GPT-4, LLaMA 3, and Palm 2 using a special approach that didn’t need human help. A computer program analyzed the results to see which words were unique to each student’s profile. The findings show that GPT-4 is better at giving personalized career advice than the other two models. |
Keywords
» Artificial intelligence » Gpt » Llama » Nlp » Palm » Zero shot
