On the path to achieving artificial superhuman intelligence, a critical tipping point lies in a system’s ability to drive its own improvement independently, without relying on human-provided data, ...

While large language models (LLMs) dominate the AI landscape, Small-scale Large Language Models (SLMs) are gaining traction as cost-effective and efficient alternatives for various applications.

Apple researchers conducted a systematic study of the computational bottlenecks and cost-efficiency of training SLMs. Their work evaluates training strategies across diverse cloud infrastructure ...