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Results for “Fine tuning”
3 publicationsTechnical guideSource-based analysisTechnical guideSource-based analysisTechnical guideSource-based analysis
Where fine tuning data needs a trust boundary
A training dataset can preserve its checksum and still teach the wrong behavior. Admission controls need to separate origin, transformation, approved use and the model change they produce.
AI systems · By Cloud Security DeskAn evidence plan for AI incident response
An AI incident record needs to connect the system version, context, output, downstream action and observed consequence. A saved prompt or a public report is only part of that evidence.
AI systems · By Cloud Security DeskTreat model downloads as software supply chain changes
Review weights, custom code, dependencies, and runtime authority as separate decisions before promoting a downloaded model into a trusted environment.
AI systems · Hugging Face · By Cloud Security Desk