Provide users the ability to fine-tune models with their own data.
AI/ML / Gen AI / Capabilities / DEV
Customizable Model Selection
CCC.GenAI.CP06
Related Threats
| ID | Title | Description |
|---|---|---|
| CCC.GenAI.TH02 | Data Poisoning | Data poisoning occurs when training, fine-tuning or embedding data is tampered with in order to modify the model's behaviour, for example steering it towards specific outputs, degrading performance or introducing backdoors. |
| CCC.GenAI.TH04 | Insecure / Unreliable Model Output | A GenAI model may generate content that is incorrect, misleading or harmful, such as convincing misinformation (hallucinations) or vulnerable or malicious code, due to its reliance on statistical patterns rather than factual understanding. Directly using this flawed output without validation can lead to system compromises, poor decision-making, and legal or reputational damage. |