MemOS is a breakthrough "memory operating system" for AI that delivers 159% improvement in reasoning tasks and enables persistent memory.

And with these tools, scientists can create models of these relationships that can then be used, in theory, to make predictions about the behavior and health of individuals. But that only works if ...

AI models come with built-in limitations regarding context size. While increasing this size is possible, it requires more memory and can potentially lead to performance issues.

The researchers found that people often summarize entire episodes of a story into single sentences, leading to the conclusion that narratives are stored in memory as tree structures. In this model, ...

Researchers at the Tokyo-based startup Sakana AI have developed a new technique that enables language models to use memory more efficiently, helping enterprises cut the costs of building ...

Some basics on pruning. Pruning neural networks involves systematically removing redundant parameters to reduce model size, memory usage, and computational costs.

Memory serves as a hard limit on AI model parameter size, and more memory makes room for running larger local AI models. An NVIDIA diagram of the Project DIGITS computer, designed to run AI models.

We shouldn’t be putting so much focus on language model size & trying to define the next stage of AI development by any significant measure of this kind.