MaartenGr / MaartenGr/BERTopic
Representation models using adapters
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- Dominant language
- Python
- Stars
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- Avg merge
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- Merged PRs (30d)
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Description
Hi there,
The more I experiment, the clearer it becomes that most LLMs excel primarily, if not exclusively, in English. With the increasing demand for topic modeling in non-English languages, I'm curious if there's a way to integrate instruction-tuned adapters with Llama 2 in BERTopic. That would be a fantastic addition!
I appreciate the fantastic work you're doing.
Cheers,
Andrea
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 does not name files, tests, or an entry point. Start by locating BERTopic's representation-model integration and reviewing how Llama 2 and instruction-tuned adapters would fit into it. Done would mean a defined, tested way to use such adapters for non-English topic modeling.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100