Checked AI model optimizations like #fMoE , #PreMoE & #TAER and #EMO . These would allow using HUGE models with limited RAM, by selecting and loading the expert
Researchers are exploring AI model optimizations such as fMoE, PreMoE, and TAER to enable the use of extremely large models with limited RAM. These techniques allow for the dynamic selection and loading of specific model 'experts' based on the prompt, meaning only a fraction of the model's parameters are utilized for any given task. This approach could enable models with trillions of parameters to operate efficiently, using only billions for prompt completion. AI
IMPACT These optimizations could significantly reduce the hardware requirements for running large AI models, making advanced AI more accessible.