What happened
Towards generic defensive cyber agents: Leveraging large language models and RAG-based few-shot learning
SourceElsevier BVpublicationAI
Towards generic defensive cyber agents: Leveraging large language models and RAG-based few-shot learning
Publication signal: Towards generic defensive cyber agents: Leveraging large language models and RAG-based few-shot learning
Factual summary
Why it matters
Recent source-backed research output for AISci Stage A browsing.
SourceElsevier BVLimitations
AISci rank score does not assess scientific quality or citation impact.
SourceElsevier BVLinked output
Towards generic defensive cyber agents: Leveraging large language models and RAG-based few-shot learningpaperPeople
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Relationship evidence
Towards generic defensive cyber agents: Leveraging large language models and RAG-based few-shot learning
Towards generic defensive cyber agents: Leveraging large language models and RAG-based few-shot learning
Foundation Models and Agents
Controlled AISci Stage A topic for Foundation Models and Agents.
Timeline
- publicationTowards generic defensive cyber agents: Leveraging large language models and RAG-based few-shot learning