NatdanaiDan/KeyToAd

KEY TO AD Generator Advert Sentence By Keyword

1

stars

10

commits

Jupyter Notebook

primary language

Apr 11, 2024

updated

README

KeyToAd

This repository documents the findings of a pioneering thesis research project focused on investigating the feasibility of utilizing Large Language Models (LLMs) to generate advertising sentences from keywords.

Research Highlights:

  • Objective: To explore the potential of LLMs in revolutionizing advertising content creation.

  • Methodology: The study involved conducting experiments with a sample size of 100 individuals to evaluate the effectiveness of sentences generated by the LLM compared to human-generated ones.

  • Key Finding: Contrary to expectations, the study revealed that sentences produced by the LLM were preferred over original human-generated sentences.

Implications:

These findings suggest a significant shift in the landscape of advertising content creation, indicating the potential for LLMs to revolutionize the industry.

Repository Contents:

  • Poster: Detailed insights into the research methodology, results, and implications.

  • Code: Implementation of the LLM model used in the research, along with instructions for replication and further experimentation.

Poster

poster cover

Full PDF Poster

Contributors

NatdanaiDan

6 commits

CinnamonBasil

2 commits

KBungs

2 commits

NatdanaiDan/KeyToAd

KEY TO AD Generator Advert Sentence By Keyword

1

stars

10

commits

Jupyter Notebook

primary language

Apr 11, 2024

updated

README

KeyToAd

This repository documents the findings of a pioneering thesis research project focused on investigating the feasibility of utilizing Large Language Models (LLMs) to generate advertising sentences from keywords.

Research Highlights:

  • Objective: To explore the potential of LLMs in revolutionizing advertising content creation.

  • Methodology: The study involved conducting experiments with a sample size of 100 individuals to evaluate the effectiveness of sentences generated by the LLM compared to human-generated ones.

  • Key Finding: Contrary to expectations, the study revealed that sentences produced by the LLM were preferred over original human-generated sentences.

Implications:

These findings suggest a significant shift in the landscape of advertising content creation, indicating the potential for LLMs to revolutionize the industry.

Repository Contents:

  • Poster: Detailed insights into the research methodology, results, and implications.

  • Code: Implementation of the LLM model used in the research, along with instructions for replication and further experimentation.

Poster

poster cover

Full PDF Poster

Contributors

NatdanaiDan

6 commits

CinnamonBasil

2 commits

KBungs

2 commits

Languages

Jupyter Notebook

91.0%

Python

5.6%

Shell

3.4%