Definition
A machine learning technique used to train AI models, particularly language models, by incorporating human preferences. Humans rate AI responses, and this feedback is used to fine-tune the model’s behavior.
Why it matters (in Poovi’s context)
Explains why AI models are fine-tuned to align with human expectations, including politeness and appropriate responses to various inputs.
Key properties or components
- Human feedback
- Response rating
- Model fine-tuning
- Preference alignment
Contradictions or debates
None.