How to use best-of-N in MT-Bench
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Description
Hello,
I am wondering how to do best-of-n sampling in MT bench. Is this something implemented somewhere? Thanks!
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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
Search the repository for MT-Bench and best-of-N references first. Determine whether best-of-N sampling is already supported and where its usage is described; done means providing a documented, reproducible answer or identifying the missing documentation.
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Assessment
- Tech stack
- python
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100