This AI Paper from IBM and Princeton Presents Larimar: A Novel and Brain-Inspired Machine Learning Architecture for Enhancing LLMs with a Distributed Episodic Memory

The quest to refine large language models (LLMs) capabilities is a pivotal challenge in artificial intelligence. These digital behemoths, repositories of vast knowledge, face a significant hurdle: staying current and accurate. Traditional methods of updating LLMs, such as retraining or fine-tuning, are resource-intensive and fraught with the risk of catastrophic forgetting, where new learning can […]

The post This AI Paper from IBM and Princeton Presents Larimar: A Novel and Brain-Inspired Machine Learning Architecture for Enhancing LLMs with a Distributed …

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