Back to search
Top Contributors
261
commits
224
commits
161
commits
57
commits
54
commits
16
commits
16
commits
7
commits
4
commits
3
commits
Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
Stars
3.2k
Forks
232
Watchers
3.2k
Open Issues
94
Overall repository health assessment
No package.json found
This might not be a Node.js project
261
commits
224
commits
161
commits
57
commits
54
commits
16
commits
16
commits
7
commits
4
commits
3
commits
Merge pull request #1172 from martysai/martysai/pipeline-docs-adjustment
313fac8View on GitHubMerge pull request #1151 from argilla-io/update_readme_message
957934dView on GitHubFix pipeline getting stuck when multiple step replicas (#1113)
1b6c101View on GitHubFix JSON to `pydantic.BaseModel` structured output and `LiteLLM` async completion client
a7e8b44View on GitHubApplied pre-commit hooks and refactored coded accordingly
3226478View on GitHubFixed LiteLLM generation logic with patched async completion client for structured output generation with instructor
0ecbccdView on GitHub