AI Bites | YouTube Channel@ai_bites

2 years ago

Existing alignment approaches, like Reinforcement Learning from Human Feedback or Direct Preference Optimization, rely heavily on extensive human annotation and lack transparency in enforcing behaviors, limiting scalability and adaptability. SelfControl is a gradient-based… https://t.co/m5eoP7XIsd

No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints. https://t.co/cOJxvJSjsE

AK@_akhaliq

2 years ago

Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms Reinforcement Learning from Human Feedback (RLHF) has been crucial to the recent success of Large Language Models (LLMs), however, it is often a complex and brittle process. https://t.co/1yaole5LYE