NVIDIA-NeMo / NVIDIA-NeMo/Curator
[FEA] Create intermediate representation (IR) from code source
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 1.8k
- Forks
- 328
- Avg merge
- 4d 5h
- Merged PRs (30d)
- 30
Description
When training an LLM on code-related tasks, it has been empirically proven that paring source code with its intermediate representation (IR) improves the LLM capabilities (https://arxiv.org/abs/2403.03894).
Adding this capability to NeMo Curator would be, IMHO, useful,
Hope it helps!
Miguel
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
The issue names no files, tests, or entry points. Start by reviewing NeMo Curator's existing code-processing and data-preparation capabilities, then use the linked paper to clarify the intended IR formats and supported languages. Done would require a defined way to produce IR alongside source code, but the issue does not specify acceptance criteria.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100