SyGra: Low-code data-building framework for LLMs/SLMs across vLLM, Hugging Face TGI, Triton, and Ollama

AI Impact Summary

SyGra provides a low-code/no-code framework to standardize and accelerate dataset creation, transformation, and alignment for both LLMs and SLMs. It addresses common data challenges—from converting PDFs/images to structured documents to generating multi-turn, reasoning-heavy, and DPO-backed data—while offering plug-and-play pipelines across backends like vLLM, Hugging Face TGI, Triton, and Ollama. By decoupling data engineering from prompt design, teams can speed up model alignment (SFT, DPO) and RAG readiness, reducing engineering toil and time-to-production. The included references and tutorials offer concrete integration paths for teams adopting SyGra into existing ML workflows.