Part 3/10:
Post-Training Fine-Tuning: Shaping Behavior and Personality
Different chatbot personalities emerge mainly through post-training adjustments—a process often referred to as "sculpting." After initial training, developers apply techniques like reinforcement learning from human feedback (RLHF), constitutional AI principles, or AI feedback, aimed at aligning the model's responses with specific safety, ethical, or helpfulness standards.
Key Variations in Post-Training Philosophy
- OpenAI's ChatGPT: Prioritizes safety, helpfulness, and broad acceptability. Its training emphasizes neutrality, objectivity, and avoiding expression of personal opinions. This results in a cautious, reliable assistant that aims to prevent offending users or veering into controversial territory.