Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in which the probabilities of tokens occurring in a specific order is ...

A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.

The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI ...

A new compression technique from Google Research threatens to shrink the memory footprint of large AI models so dramatically ...