Provide support for more than two models and provide a training guide.
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- Dominant language
- Python
- Stars
- 5.5k
- Forks
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Description
It looks like this only supports two models, a strong and a weak model. But there are other things to consider like if privacy is a concern, or if the question is math heavy, or if the question has a visual element, etc.
Why not have a RouteLLM that could route to several arbitrary models (including local, self-hosted, or models as a service like GPT4).
And provide some example training scripts and/or a training guide that we could use to fine tune this.
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
Start by reviewing the current two-model routing behavior and any existing training scripts or guidance. Define how arbitrary local, self-hosted, and service models plus privacy, math, and visual concerns should be represented, then document and validate a multi-model training workflow.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100