invergent-ai/surogate

Description and use

invergent‑ai/surogate is an open‑source framework designed to accelerate the training and fine‑tuning of large AI models, delivering near‑real‑time performance through optimized data pipelines, parallelism, and hardware‑aware scheduling. It supports a wide range of model architectures and integrates with popular ML libraries, making high‑speed model adaptation accessible to researchers and developers.

Use in a workflow

invergent-ai/surogate helps add AI capability without starting from a blank model stack.

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Limitations and review notes

Early or unclear: treat as research material until maintenance, releases, docs, and issue activity are verified.