How Titans and MIRAS Enable AI Models to Remember 1 Million Tokens

Google's Titans architecture and the MIRAS theoretical framework introduce a deep neural memory that lets large language models learn in real time, retain surprising information, and handle context windows of up to two million tokens, outperforming existing Transformers and linear RNNs on a range of benchmarks.

AI memoryMIRAS frameworkSequence Modeling

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