Tag: auditory large language models
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EPO-Safe: Learning AI Safety from 1-Bit Danger Signals
EPO-Safe enables AI agents to discover safety rules using minimal 1-bit danger signals, enhancing autonomous safe behavior in complex environments.
PhySE: Real-Time AR-LLM Social Engineering Framework
Discover PhySE, a cutting-edge framework addressing real-time AR and LLM social engineering attacks with adaptive psychological tactics.
Automated Ontology Generation Using Multi-Agent LLMs
Explore how multi-agent LLM architectures improve automated ontology generation from unstructured text with enhanced quality and usability.
Inference Caching in LLMs: Boost Speed & Cut Costs
Learn how inference caching in large language models reduces latency and costs while improving performance and user experience.
CAP: Efficient Knowledge Unlearning in Large Language Models
Discover CAP, a novel prompt-driven framework enabling precise, controllable unlearning in LLMs without modifying model parameters.