dev-laiser 0.2.0

LAiSER (Leveraging Artificial Intelligence for Skill Extraction & Research) is a tool designed to help learners, educators, and employers extract and share trusted information about skills. It uses a fine-tuned language model to extract raw skill keywords from text, then aligns them with a predefined taxonomy. You can find more technical details in the project’s paper.md and an overview in the README.md.

Leveraging ​Artificial ​Intelligence for ​Skill ​Extraction &​ Research (LAiSER)

Contents

LAiSER is a tool that helps learners, educators and employers share trusted and mutually intelligible information about skills​.

• About
• Requirements
• Setup and Installation
  • i. Download the repository
  • ii. Install the dependencies
• Usage
  • Google Colab Setup(preferred)
  • Command Line Setup
• Funding
• Authors
• Partners

• Funding
• Authors
• Partners

About

Requirements

• Python version >= Python 3.12.
• A GPU with atelast 15GB video memory is essential for running this tool on large datasets.

Setup and Installation

i. Download the repository

Before proceeding to LAiSER, you'd want to follow the steps below to install the required dependencies:

• Clone the repository using

  git clone https://github.com/Micah-Sanders/LAiSER.git
  

  or download the zip(link) file and extract it.

ii. Install the dependencies

[!NOTE] If you intend to use the Jupyter Notebook interface, you can skip this step as the dependencies will be installed seperately in the Google Colab environment.

Install the required dependencies using the command below:

  pip install -r requirements.txt

NOTE: Python 3.9 or later, preferably 3.12, is expected to be installed on your system. If you don't have Python installed, you can download it from here.

Usage

As of now LAiSER can be used a command line tool or from the Jupyter notebook(Google Colab). The steps to setup the tool are as follows:

Google Colab Setup(preferred)

LAiSER's Jupyter notebook is, currently, the fastest way to get started with the tool. You can access the notebook here.

• Once the notebook is imported in google colaboratory, connect to a GPU-accelerated runtime(T4 GPU) and run the cells in the notebook.

Command Line Setup

To use LAiSER as a command line tool, follow the steps below:

• Navigate to the root directory of the repository and run the command below:

  pip install laiser-dev
  

• Once the installation is complete, you can run the tool using the command below:

Funding

Authors

Partners