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Transformer^2: Self-Adaptive LLMs
Transformer²: Self-Adaptive LLMs
This vision of self-adaptive AI is at the heart of our latest research paper, Transformer²(‘Transformer-squared’), where we propose a machine learning system that dynamically adjusts its weights for various tasks. Transformer² demonstrates significant advancements across various tasks (e.g., math, coding, reasoning, and visual understanding), outperforming traditional, static approaches like LoRA in efficiency and task-specific performance while requiring far fewer parameters. These systems will scale their compute dynamically at test-time to adapt to the complexity of tasks they encounter, embodying living intelligence capable of continuous change and lifelong learning.
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