Grouped Query Attention (GQA) is a technique used in large language models to speed up the inference time. It groups queries together and computes their attention jointly, reducing the computational complexity and making the model more efficient.

• Natural Language Processing
• Chatbots and conversational AI
• Recommendation systems
• Information retrieval

For example, in a chatbot application, GQA can be used to quickly attend to multiple user queries simultaneously, rather than computing the attention separately for each query individually.

• Laddering Technique and the Streisand Effect