Mitigate mode collapse and unlock LLM diversity
Do you ever felt your AI (LLM) is not creative enough and keeps snitching your answers to others? We’re making models dumber in the name of making them “better.” A new study reveals the unintended consequence of RLHF (Reinforcement Learning from Human Feedback). It turns out, when we train AI on what humans “prefer,” we accidentally teach it to be… predictable. Boring. Safe. The result? Mode collapse. But here’s the unlock 🔓 ...
