feat(rlm): RuvLTRA Training Pipeline for RLM
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enhancement
- Dominant language
- Rust
- Stars
- 4.5k
- Forks
- 603
- Avg merge
- 23h 32m
- Merged PRs (30d)
- 59
Description
Summary
Implement RuvLTRA training pipeline for RLM task routing and continuous learning.
Tasks
- Create RLM-specific training dataset
- Implement contrastive fine-tuning for task decomposition
- Add SONA integration for online learning
- Create evaluation benchmarks
Contributor guide
No contributing guide indexed for this repository
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 locating the RLM task-routing and SONA online-learning components in the repository, then review how existing training data and evaluation are organized. The work is complete when an RLM-specific dataset, contrastive task-decomposition training, SONA integration, and evaluation benchmarks are all implemented and verifiable.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- rust
- 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