CAG
CAG enhances language models with cached knowledge for faster, more accurate text generation in applications like QA and summarization.
What is CAG?
CAG is an innovative technique that enhances language models by preloading and caching relevant resources. This method reduces latency and improves reliability, making it ideal for applications like natural language processing and question answering systems. It simplifies system design while maintaining high accuracy and speed.