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Research

Reinforcement Learning from Human/AI Feedback

Agents refine images, text, or edits in real time based on user or AI feedback.
Use trained critic models to simulate expert reviews when human input isn’t available.

Regional Visual Rendering

Tailor visuals to cultural styles using local architecture, lighting, and symbols.

Render fonts and graphics inspired by regional scripts and traditional calligraphy.

Self-Evolving Multi-Agent Framework

Agents adapt roles (e.g., editor, colorist, sound designer) based on creative needs.

Collaboratively refine outputs and invent tools through iterative, multi-agent interaction.