Factor
LLMs factor in unrelated information when recommending medical treatments
A large language model (LLM) deployed to make treatment recommendations can be tripped up by nonclinical information in patient messages, like typos, extra white space, missing gender markers, or the use of uncertain, dramatic, and informal language, according to a study by MIT researchers. They found that making stylistic or grammatical changes to messages increases…
Enhance Protection with Multi Factor Authentication Today
In a world where data breaches and cyber threats are becoming increasingly common, protecting your online accounts and personal information is more crucial than ever. One of the most effective ways to bolster your security is through the use of multi-factor authentication (MFA) gadgets. These devices add an extra layer of protection, ensuring that even…