Semantic caching is a practical pattern for LLM cost control that captures redundancy exact-match caching misses. The key ...

Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten inference economic viability ...

Threat actors are systematically hunting for misconfigured proxy servers that could provide access to commercial large ...

If we could reliably detect AI use in student papers, that would leave instructors free to decide whether it impedes or ...

LLM AIs are too susceptible to manipulation—and too prone to inconsistency—to be viewed as reliable means of producing empirical evidence of ordinary meaning. We highlighted some of the reasons for ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A new framework called METASCALE enables large language models (LLMs) to ...

A consistent media flood of sensational hallucinations from the big AI chatbots. Widespread fear of job loss, especially due to lack of proper communication from leadership - and relentless overhyping ...

The problem: Generative AI Large Language Models (LLMs) can only answer questions or complete tasks based on what they been trained on - unless they’re given access to external knowledge, like your ...

University researchers are exploring a new way to use large language models (LLMs) for middle school math education. Researchers at George Mason University and William and Mary University have created ...

The education technology sector has long struggled with a specific problem. While online courses make learning accessible, ...