<ul><li>The Titan architecture introduces a neural memory module capable of learning to memorize at test time.</li><li>Titans integrate short-term and long-term memory to improve generalization and efficiency in long-context tasks.</li><li>The architecture involves depthwise separable convolutions, gating mechanisms, and a multi-head attention module.</li><li>Titans outperform traditional transformers and recurrent models in accuracy and scalability.</li></ul>

GenAI System Design Series — Part 4:Developing Titans — Learning to Memorize at Test Time

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