Dataflow: Using Llms to Build Reproducible, End-to-End Data Pipelines
Posted11 days ago
huggingface.coResearchstory
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Large Language ModelsData PreprocessingReproducibility
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DataFlow addresses a real pain point in AI research and product development — reliable, reproducible, and scalable data pipelines powered by large language models. Rather than ad-hoc scripts, it provides:
A unified LLM-driven data preparation framework with modular operators and reusable pipelines.
Natural language to executable pipelines via automated planning and synthesis.
Strong empirical improvements across text, code, SQL, math reasoning, and agentic RAG tasks.
We hope this helps the community build better data workflows and improve downstream model performance. If you find this useful, please upvote on Hacker News and share your thoughts!