Infinite-Parameter LLMs: Generating and Adapting Weights from Live Data
The Infinite-Parameter LLM enables language models to learn from live data, enhancing adaptability and performance.
The Infinite-Parameter LLM architecture allows language models to learn from live interactions. Conventional models cannot utilize real-time data due to frozen weights post-training. This novel approach generates weights dynamically from live data, enabling continuous learning and improving model adaptability.
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