OpenEuroLLM / OpenEuroLLM/Taskboard
Recommend and choose main framework and evaluation strategy together with WP4.6 Probing model refinement capabilities
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T5.2 - dynamic evals
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Description
Based on #3 , choose and expose a solution to easily eval instruction-tuned/post-trained models.
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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
Start by reading issue #3 and the requested coordination with WP4.6 on probing model refinement capabilities. Determine which main framework and evaluation strategy should be recommended and exposed for instruction-tuned or post-trained models; completion means the solution is chosen and documented for easy evaluation.
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Assessment
- Domain
- ai, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100