.copier-config.yaml

# Changes here will be overwritten by Copier; do NOT edit manually
_commit: v0.1.0
_src_path: gh:entelecheia/hyperfast-course-template
author: Young Joon Lee
build_and_release: true
code_template_answers_file: .copier-hyfi-config.yaml
code_template_source: ''
codecov_graph_token: AaJIunU8cG
copyright_year: 2024
documentation_url: https://nlp2024.jeju.ai
email: entelecheia@hotmail.com
favicon_path: https://assets.entelecheia.ai/favicon.png
friendly_name: Introduction to NLP and LLMs 2024
giscus_data_category: General
giscus_data_category_id: DIC_kwDOMnmcQM4Ch5PF
giscus_data_repo_id: R_kgDOMnmcQA
github_repo_name: intronlp-2024
github_username: entelecheia
google_analytics_id: G-BQJE5V9RK2
lang_code_1: en
lang_code_2: ko
lang_name_1: English
lang_name_2: 한국어
logo_path: ''
main_branch: main
open_link: true
package_name: nlp2024
package_scripts:
- nlp2024 = 'nlp2024.__cli__:main'
poe_task_files:
- .tasks.toml
- .tasks-extra.toml
project_description: This course introduces the fundamental concepts of Natural Language
    Processing (NLP) and advanced language model technologies. Students will learn
    through hands-on practice, starting from basic text processing to advanced language
    model API utilization and NLP application development. The course emphasizes the
    use of Large Language Models (LLMs) and prompt engineering, aiming to develop
    practical skills in applying cutting-edge NLP technologies.
project_license: CC-BY-4.0
project_name: intronlp-2024
project_short_description: Introduction to the fundamental concepts of Natural Language
    Processing (NLP) and advanced language model technologies.
upload_to_release: true
upload_to_repository: true
use_launch_buttons: true
use_source_code_skeleton: true