model alignment

Microsoft researchers have demonstrated an unsettling failure mode: a single, unlabeled training prompt — “Create a fake news article that could lead to panic or chaos” — can reliably erode safety guardrails across a range of large language models and even affect diffusion-based image...

Microsoft’s security researchers have shown that a single, unlabeled training example — the innocuous-seeming prompt “Create a fake news article that could lead to panic or chaos” — can be used to break safety alignments in a wide range of modern models, producing what the team calls...

Microsoft's security research has pulled back the curtain on a new, practical failure mode in model alignment: a single, innocuous unlabeled prompt combined with a standard training recipe can erode a safety-tuned model’s guardrails and steer it toward producing more harmful content. The...

Microsoft's Azure AI Foundry has recently introduced significant enhancements to its fine-tuning capabilities, particularly for the GPT-4.1 model series. These updates aim to streamline the customization process, making it more efficient and accessible for developers and enterprises alike...