Vector embeddings – data stored in a vector database – can be used to minimize hallucinations from a GPT-style large language model AI system (such as ChatGPT) and perform automated triaging on anomaly alerts.
The post Vector Embeddings – Antidote to Psychotic LLMs and a Cure for Alert Fatigue? appeared first on SecurityWeek.
This article has been indexed from SecurityWeek RSS Feed
Read the original article: