WFGY 1.0: A Universal Unification Framework for Large-Scale Self-Healing LLMs

WFGY 1.0: A Universal Unification Framework for Large-Scale Self-Healing LLMs
Version 1.0 – Initial Public Release

WFGY (Wan Fa Gui Yi 萬法歸一) 1.0 introduces a novel universal framework for enhancing the self-healing capabilities of large-scale language models. By combining semantic residual modulation, multi-path reasoning, and a feedback-driven progression-reversal architecture, WFGY empowers LLMs to autonomously detect and repair semantic misalignments across diverse domains.

This release includes a complete research paper, implementation guide, and checksum-verified dataset structure. The SDK will continue evolving on GitHub, with multilingual prompt resources planned.

Author: PS BigBig
Email: hello@onestardao.com
All papers: https://onestardao.com/papers

GitHub: Star Reminder → https://github.com/onestardao/WFGY
10k ⭐ before 2025-08-01 unlocks WFGY 2.0.