AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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What to Remember, What to Reveal: Privacy-Aware Memory for Conversational Agents
Long-term memory enables personalized conversational agents to retain user information across sessions. However, existing memory architectures primarily optimize for utility while neglecting the risks of unnecessarily storing and reusing private attributes such as personally identifiable information (PII). Addressing p...
From Passive Retrieval to Active Memory Navigation: Learning to Use Memory as a Structured Action Space
NapMem is introduced, a framework for learning to use long-term user memory as a structured action space rather than passively retrieved context, and suggests that long-term user memory benefits from coupling structured storage with a learned policy for using memory at the appropriate granularity.