Choice Vectors: Streamlining Personal AI Alignment Through Binary Selection
Value alignment for AI is not “one-size-fits-all”: even polite and friendly models can still fail to represent individual user contexts and preferences, and local cultural norms. This paper presents a modular workflow for personal fine-tuning, synthesizing four core components from our previous rese...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
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| Series: | Multimodal Technologies and Interaction |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2414-4088/9/3/22 |
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