Idea: Per-model prompt library
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 47
- Forks
- 7
- PR merge metrics
- No merged PRs in 30d
Description
I find this project very interesting, and would like to try it out, but don't have the personal budget to do the training for my most-used model right now. Considering the relative stability of frontier coding models, would it not make sense to crowd-source optimized system prompts for common models? I know there are tradeoffs and non-determinism, in the process, but a library of standard prompts would lower the barrier to entry and could help make your excellent research more widely adopted.
Contributor guide
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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
The issue names no files, tests, or entry points. First clarify which models, prompt format, storage location, and evaluation criteria the library should support. Done would mean an agreed scope and a usable collection of optimized per-model system prompts.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100