Secure Forgetting: A Framework for Privacy-Driven Unlearning in Large Language Model (LLM)-Based Agents
Secure Forgetting: A Framework for Privacy-Driven Unlearning in Large Language Model (LLM)-Based Agents explores A framework for LLM-based agents to selectively forget sensitive or outdated knowledge, enabling controlled unlearning with a natural language interface.. Commercial viability score: 6/10 in LLM Agents.
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