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Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
A framework for prompt tuning using Intent-based Prompt Calibration
Synthetic data curation for post-training and structured data extraction
DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models. 🤖💤
A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.