Prompt injection, prompt extraction, new phishing schemes, and poisoned models are the most likely risks organizations face when using large language models. As CISO for the Vancouver Clinic, Michael ...

A new tool from Microsoft aims to bridge the gap between application development and prompt engineering. Overtaxed AI developers take note. One of the problems with building generative AI into your ...

As AI takes hold in the enterprise, Microsoft is educating developers with guidance for more complex use cases in order to get the best out of advanced, generative machine language models like those ...

As troubling as deepfakes and large language model (LLM)-powered phishing are to the state of cybersecurity today, the truth is that the buzz around these risks may be overshadowing some of the bigger ...

In the world of Large Language Models, the prompt has long been king. From meticulously designed instructions to carefully constructed examples, crafting the perfect prompt was a delicate art, ...

Retrieval-augmented generation, or RAG, integrates external data sources to reduce hallucinations and improve the response accuracy of large language models. Retrieval-augmented generation (RAG) is a ...