A multi-agent framework for generating synthetic data using LLMS.
Project description
⚡️ Data Forge
The Ultimate Synthetic Data Generation Framework
A comprehensive toolkit for generating high-quality synthetic datasets tailored for AI researchers and data scientists. Featuring a robust PDF parser and intelligent knowledge localization capabilities, DataForge strengthens your data generation pipeline with custom knowledge integration—providing a better approach to traditional knowledge distillation techniques.
Features
- Multi-Agent Orchestration: Compose complex synthetic data pipelines with agentic collaboration.
- LLM Powerhouse: Seamless integration with Google Gemini, OpenAI GPT, and more.
- Human-in-the-Loop: Pause, review, and steer data generation interactively—no more black-box outputs!
- Document-Aware Generation: Retrieve the necessary localized knowledge, chunk, and leverage it as context for synthetic data generation.
- Auto-Save & Logging: All outputs and logs are organized, timestamped, and ready for audit.
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