ning large language models more efficient and less resource-intensive. Large language models are the powerhouse behind many AI applications, from chatbots to recommendation systems. However, training these models requires a lot of computational power and memory, which can be expensive and time-consuming.

The researchers have developed a new method, called CAME, that reduces the amount of memory needed to train these models without sacrificing their performance. This is a big deal because it means companies