💡 [REQUEST] - tutorial on torchrl LLM API
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tutorial-proposal
- Dominant language
- Python
- Stars
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- Avg merge
- 1d 21h
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Description
🚀 Describe the improvement or the new tutorial
I’d like to write a tutorial about TorchRL LLM post-training API including data formatting for RL, multi-turn conversation handling, tool usage etc
@svekars what’s the policy on open-source models usage? Can I load and use a small model (0.5B) freely?
Existing tutorials on this topic
I don’t think there are any
Additional context
No response
Contributor guide
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 existing tutorials and the TorchRL LLM post-training API documentation; no specific files or tests are named in the issue. Confirm the policy for using a small open-source model, then define a runnable tutorial covering RL data formatting, multi-turn conversations, and tool usage.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100