With a tenfold increase in data-center capacity predicted by 2028, Lumen Technologies CTO explains why industry, ...

The "one-size-fits-all" approach of general-purpose LLMs often results in a trade-off between performance and efficiency.

In today's lightning-fast software landscape, traditional architecture practices are becoming a bottleneck. The velocity and complexity of systems scaling across ephemeral microservices, complex APIs ...

Large language models represent text using tokens, each of which is a few characters. Short words are represented by a single token (like “the” or “it”), whereas larger words may be represented by ...

The generative AI boom has, in many ways, been a privacy bust thus far, as services slurp up web data to train their machine learning models and users’ personal information faces a new era of ...

In brief: Small language models are generally more compact and efficient than LLMs, as they are designed to run on local hardware or edge devices. Microsoft is now bringing yet another SLM to Windows ...