OpenEuroLLM / OpenEuroLLM/Taskboard
Evaluate accuracy Judge with different models and prompt options
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T5.2 - dynamic evals
- Dominant language
- No language data
- Stars
- 3
- Forks
- 0
- PR merge metrics
- No merged PRs in 30d
Description
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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. Start by clarifying which Judge, models, prompt options, data, and accuracy measure are in scope; done should be a reproducible comparison with recorded results.
Written by the indexing model from the issue text.
Assessment
- Domain
- ai
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100