ThomasRochefortB/open-agentinstruct
An open-source recreation of the AgentInstruct agentic workflow for synthetic data generation
This tool helps AI practitioners and data scientists create high-quality synthetic datasets for training large language models. You input existing text data, like PDFs or Hugging Face datasets, and it outputs new, refined instruction-response pairs for various tasks such as reading comprehension, coding, or creative content generation. It's designed for professionals building and evaluating advanced AI models.
No commits in the last 6 months. Available on PyPI.
Use this if you need to quickly expand or diversify your training data for language models, especially for complex or specialized tasks, and want to leverage an agentic workflow to generate high-quality instructions.
Not ideal if you're looking for a simple data labeling solution or if your primary need is for human-generated, ground-truth data rather than synthetically enhanced datasets.
Stars
26
Forks
3
Language
Python
License
MIT
Category
Last pushed
Apr 16, 2025
Commits (30d)
0
Dependencies
8
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