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MeMo: A framework for adding knowledge to language models

The Liquid AI research team introduced MeMo, a modular framework adding current, domain-specific knowledge to LLMs without changing model weights. It captures relationships between documents, resists retrieval noise, prevents catastrophic forgetting and works with both open and closed models.

Part of an overview of multiple AI topics; only this event has been covered.

Liquid AI (blog and model releases) Original source ↗