Building a new large language model (LLM) from scratch can cost a company millions — or even hundreds of millions. But there are several ways to deploy customized LLMs that are faster, easier, and, most importantly, cheaper.
Demographic data on surgical specialties put through three popular AI text-to-image generators found that two of the systems depicted 98% of surgeons as white males.
Just as the human body needs a healthful diet to function properly, so does AI. The technology requires a diet of appropriate content to operate effectively and with as little bias as possible. Feeding AI models data that they will learn from also requires ensuring security of the source clinical information and patient privacy—and a willingness from patients to share their anonymous data for the greater good.
Large language models evolved alongside deep-learning neural networks and are critical to generative AI. Here's a first look, including the top LLMs and what they're used for today.
Detailed cyber playbooks are essential and should outline exactly what teams should do when an attack occurs, ranging from best- to worst-case scenarios, so that security leaders can mitigate the issue, reassure business leaders, and move forward as quickly as possible.