The offline pipeline's primary objective is regression testing — identifying failures, drift, and latency before production.
Neuro-symbolic AI is now being used to provide mental health guidance. Turns out this is better than using conventional AI. I ...
A sit-down with Professor Eric Xing, the president of the UAE’s Mohamed bin Zayed University of Artificial Intelligence.
Is your generative AI application giving the responses you expect? Are there less expensive large language models—or even free ones you can run locally—that might work well enough for some of your ...
There is a quiet assumption running through most enterprise GenAI deployments: if the output looks right, it is right. In low-stakes environments, that is a reasonable shortcut. In regulated ...
QVAC SDK and Fabric give people and companies the ability to execute inference and fine-tune powerful models on their own ...
OpenAI says it has already put GPT-5.5’s coding skills to use internally. The LLM helped optimize the software that manages ...
A new technical paper, “Exploring Silent Data Corruption as a Reliability Challenge in LLM Training,” was published by ...
Opinion
Tech Xplore on MSNOpinion
Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks
Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...
AI agents promise to transform business workflows, but their effectiveness depends on secure, reliable access to enterprise ...
How indirect prompt injection attacks on AI work - and 6 ways to shut them down ...
A team at APL has developed the capability to build a large language model from the ground up, positioning the Laboratory to ...
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