👉 The Retrieval-augmented Memory (RAM) system, a type of memory-augmented neural network, incorporates a retrieval mechanism to enhance its ability to recall and utilize previously stored information. Unlike traditional neural networks that rely solely on learned patterns, RAM integrates an external memory database where it can store and retrieve information dynamically. When a query is made, the network first retrieves relevant data from this memory, which is then used to generate outputs or make decisions. This retrieval process is facilitated by an attention mechanism, allowing the network to focus on the most pertinent information, thereby improving its performance and generalization capabilities. By combining memory retrieval with learning, RAM systems can effectively bridge the gap between static knowledge storage and dynamic information processing.
