Synthetic and federated: Privacy-preserving domain adaptation with LLMs for mobile applications

With their capacity to generate human-like content at a massive scale, LLMs are exposed to additional risks compared to traditional software systems. They can produce harmful responses, such as hallucinated content, various forms of toxic/ hate speech, copyrighted material, and personally identifiable information that is not meant to be shared. These kinds of failures can…