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Chatbot Training Techniques
Meta uses several well-established methods to train and refine its chatbot models. These include:
- Reinforcement Learning from Human Feedback (RLHF)
Contractors rate and provide feedback on anonymized user interactions. - Persona Simulation
Workers prompt the AI to adopt fictional personas like:- “Wise and mystical wizard”
- “Hyper-excited music theory student”
- Emotion-Based Voice Training
Through projects like Vocal Riff – Speech RLHF, contractors:- Record emotionally expressive prompts
- Use romantic or flirty tones (non-sexual)
- Employ light profanity to assess voice responsiveness
- Prompt Sensitivity Filters
Prompts involving hate, sex, violence, religion, gender, politics, or race are flagged or rejected. - Prohibited Impersonations
Contractors were barred from simulating characters such as Homer Simpson, Tina Fey, or Achilles.
Joe Osborne, a Scale AI spokesperson, defended the practice:
