Retrieval-Augmented Generation (RAG) enhances language learning models (LLMs) by accessing external knowledge bases for up-to-date information, says Tehsin Syed from Amazon Web Services. RAG not only helps to improve accuracy and eliminate bias, but also addresses concerns about misrepresentation of risk in AI models and can navigate unstructured data. Syed emphasizes that RAG can specifically aid healthcare institutions in automating medical coding and analyzing medication side effects.
Threat Actors Exploit Government Website Vulnerabilities For Phishing Attacks
Cybercriminals are exploiting vulnerabilities in government websites, using .gov domains for phishing campaigns. A report highlights how nearly 60% of abused domains included a specific
