lfunderburk/automate-tech-post

LLM application: fine tuned model to generate social media posts from technical blogposts. I used the documentation in https://numpy.org/numpy-tutorials/index.html to build a synthetic dataset and used that dataset to fine-tune an open source model.

35
/ 100
Emerging

This project helps technical content creators, like developer advocates or documentation managers, transform detailed technical blog posts or tutorials into engaging social media updates. You provide a technical article, and it generates a concise, attention-grabbing social media post, complete with relevant emojis and hashtags, ready for platforms like X (formerly Twitter) or LinkedIn. It's designed for anyone managing outreach for open-source projects, APIs, or engineering blogs.

No commits in the last 6 months.

Use this if you regularly publish technical content and want to quickly create social media posts to promote it without manual summarization.

Not ideal if you need highly nuanced or creative marketing copy that requires a deep understanding of brand voice beyond simple summarization and rephrasing.

Technical Content Developer Relations Social Media Marketing Open Source Promotion Content Syndication
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 14 / 25

How are scores calculated?

Stars

13

Forks

3

Language

Jupyter Notebook

License

Apache-2.0

Last pushed

Jun 06, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/lfunderburk/automate-tech-post"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.