https://github.com/eltoncn/presentation2article
Using LLMs to generate a article draft from a presentation transcript
https://github.com/eltoncn/presentation2article
article-generator llm student-project text-generation
Last synced: 4 months ago
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Using LLMs to generate a article draft from a presentation transcript
- Host: GitHub
- URL: https://github.com/eltoncn/presentation2article
- Owner: EltonCN
- License: mit
- Created: 2024-06-03T18:20:07.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-06-26T02:57:33.000Z (almost 2 years ago)
- Last Synced: 2025-05-07T07:52:52.110Z (about 1 year ago)
- Topics: article-generator, llm, student-project, text-generation
- Language: HTML
- Homepage:
- Size: 575 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Presentation2Article
The project idea is to use a LLM to generate a informative article draft about the seminar ["Talking to Machines: A Practical introduction to Generative AI"](https://feec-seminar-comp-eng.github.io/seminars/seminars-1-2024/6/), by Gabriela Surita, part of 1S/2024 graduate seminar class ["IA382"](https://feec-seminar-comp-eng.github.io/) from Unicamp. The project input is the annotations about the seminar, the intended audience and the seminar transcription. The output is the article text draft for subsequent review and editorial treatment, divided in sections. For each section layout information is created, like sentences to highlight and terms to define in auxiliary text boxes. Images will also are proposed for each section (descriptions only, without the real image).
## Repository structure
- [Project.ipynb](Project.ipynb): project notebook/report.
- [generated_article.pdf](generated_article.pdf): project resulting article draft.
- [Project Proposal.pdf](Project%20Proposal.md): original project proporsal.
- [data](data): data used by the project (seminar transcript)