Q-Vectors are a type of representation used in various fields such as machine learning, natural language processing (NLP), and signal processing. The term itself can refer to different concepts depending on the context, but it often pertains to methods for encoding information in a vector space. In the context of natural language processing and machine learning, Q-Vectors can refer to an embedding or vector representation of questions. They are particularly relevant in systems that deal with question-answering, information retrieval, or conversational AI.
Articles by others on the same topic
There are currently no matching articles.