AI BriefingData Construction Framework SyGra Released
Key point
SyGra, a low-code framework supporting data generation, transformation, and alignment for LLM and SLM training, has been released.
Details
SyGra is a low-code/no-code framework designed to solve various data-related challenges that arise during LLM and SLM construction. Instead of writing complex scripts, it helps generate high-quality data by focusing on prompt engineering.
Its key supported features are as follows:
- Data Transformation and Generation: Converts knowledge bases into Q&A format, or generates preference pairs for DPO from SFT data.
- Reasoning and Quality Enhancement: Supports step-by-step reasoning data generation to improve model reasoning capabilities and filtering of low-quality samples.
- Domain and Context Expansion: Enables data curation for domain-specific mid-training and large-scale context data construction for RAG optimization.
It is also compatible with various inference backends such as vLLM, Hugging Face TGI, Triton, and Ollama, allowing easy integration into existing ML workflows.
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