AI-native Memory - A technology integrating memory modeling to advance large language models (LLMs) toward artificial general intelligence (AGI).
AI-native Memory is an innovative approach to memory modeling in AI systems, featuring a three-layer architecture (raw data, natural-language memory, and AI-native memory) to enhance personalization, prediction, and contextual understanding. It supports multimodal inputs and outperforms traditional methods in applications like recommendation systems and memory-augmented chatbots.
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