Transformer²: Self-Adaptive LLMs Break New Ground
Transformer² is a novel machine learning system that dynamically adjusts its weights for various tasks. Inspired by nature's adaptive mechanisms, like an octopus changing color or the brain rewiring itself, it enables Large Language Models (LLMs) to adapt to new tasks in real-time. Using Singular Value Decomposition (SVD) and Reinforcement Learning (RL), Transformer² decomposes model weights into independent components and learns how to combine them optimally for diverse tasks, including math, coding, reasoning, and visual understanding. Results show Transformer² outperforms traditional static approaches like LoRA in efficiency and task-specific performance, requiring far fewer parameters. This work paves the way for building 'living intelligence' AI systems that continuously learn and evolve.
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