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SkillGPT : a RESTful API service for skill extraction and standardization using a Large Language Model

Nan Li (UGent) , Bo Kang (UGent) and Tijl De Bie (UGent)
(2023)
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Abstract
We present SkillGPT, a tool for skill extraction and standardization (SES) from free-style job descriptions and user profiles with an open-source Large Language Model (LLM) as backbone. Most previous methods for similar tasks either need supervision or rely on heavy data-preprocessing and feature engineering. Directly prompting the latest conversational LLM for standard skills, however, is slow, costly and inaccurate. In contrast, SkillGPT utilizes a LLM to perform its tasks in steps via summarization and vector similarity search, to balance speed with precision. The backbone LLM of SkillGPT is based on Llama, free for academic use and thus useful for exploratory research and prototype development. Hence, our cost-free SkillGPT gives users the convenience of conversational SES, efficiently and reliably.

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Citation

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MLA
Li, Nan, et al. SkillGPT : A RESTful API Service for Skill Extraction and Standardization Using a Large Language Model. 2023.
APA
Li, N., Kang, B., & De Bie, T. (2023). SkillGPT : a RESTful API service for skill extraction and standardization using a Large Language Model.
Chicago author-date
Li, Nan, Bo Kang, and Tijl De Bie. 2023. “SkillGPT : A RESTful API Service for Skill Extraction and Standardization Using a Large Language Model.”
Chicago author-date (all authors)
Li, Nan, Bo Kang, and Tijl De Bie. 2023. “SkillGPT : A RESTful API Service for Skill Extraction and Standardization Using a Large Language Model.”
Vancouver
1.
Li N, Kang B, De Bie T. SkillGPT : a RESTful API service for skill extraction and standardization using a Large Language Model. 2023.
IEEE
[1]
N. Li, B. Kang, and T. De Bie, “SkillGPT : a RESTful API service for skill extraction and standardization using a Large Language Model.” 2023.
@misc{01HD0Z0ZJTDKHGM7V6TD7C9M38,
  abstract     = {{  We present SkillGPT, a tool for skill extraction and standardization (SES)
from free-style job descriptions and user profiles with an open-source Large
Language Model (LLM) as backbone. Most previous methods for similar tasks
either need supervision or rely on heavy data-preprocessing and feature
engineering. Directly prompting the latest conversational LLM for standard
skills, however, is slow, costly and inaccurate. In contrast, SkillGPT utilizes
a LLM to perform its tasks in steps via summarization and vector similarity
search, to balance speed with precision. The backbone LLM of SkillGPT is based
on Llama, free for academic use and thus useful for exploratory research and
prototype development. Hence, our cost-free SkillGPT gives users the
convenience of conversational SES, efficiently and reliably.
}},
  author       = {{Li, Nan and Kang, Bo and De Bie, Tijl}},
  language     = {{eng}},
  pages        = {{6}},
  title        = {{SkillGPT : a RESTful API service for skill extraction and standardization using a Large Language Model}},
  year         = {{2023}},
}