posit-dev / posit-dev/py-shiny
Example app for labelling LLM responses
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- Dominant language
- Python
- Stars
- 1.8k
- Forks
- 135
- Avg merge
- 2d 18h
- Merged PRs (30d)
- 21
Description
LLM researchers have a common task where they need to review the output of LLMs and either accept, reject, or skip each item. We can put together a quick example to illustrate that pattern.
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No file, test, or entry point is named. Start by reviewing the repository's existing example apps and determine where a new Shiny example belongs; done means an example that demonstrates reviewing LLM outputs with accept, reject, and skip choices.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, web-dev
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100