mlfoundations / mlfoundations/task_vectors
how to compute the cosine similarity between task vectors
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- Python
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Description
May I ask how to calculate similarity? The similarity obtained by calculating different parts of the model separately and then summarizing them through weighted averages is very high, which contradicts the content of the article. I don't know why
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
The issue names no file, test, or entry point. Start by locating the repository's task-vector similarity calculation and compare separate-part weighted averaging with the method described in the article; done means explaining the discrepancy and documenting the correct calculation.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100