Abstract: The rapid growth of model parameters presents a significant challenge when deploying large generative models on GPU. Existing LLM runtime memory management solutions tend to maximize batch ...

Memory-augmented Large Language Models (LLMs) have demonstrated remarkable capability for complex and long-horizon embodied planning. By keeping track of past experiences and environmental states, ...

Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...

Share on Pinterest Could the vagus nerve be key to reversing age-related memory loss? VILevi/Getty Images A study in mice concludes that age-related loss in memory function may be driven by changes in ...

A species of gut bacterium that proliferates as mice get older plays a part in the animals’ cognitive decline, a study finds 1. Researchers determined that the bacterium interferes with signalling ...

Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s working ...