📚 Google DeepMind Introduces WARP: A Novel Reinforcement Learning from Human Feedback RLHF Method to Align LLMs and Optimize the KL-Reward Pareto Front of Solutions
Nachrichtenbereich: 🔧 AI Nachrichten
🔗 Quelle: marktechpost.com
Reinforcement learning from human feedback (RLHF) encourages generations to have high rewards, using a reward model trained on human preferences to align large language models (LLMs). However, RLHF has several unresolved issues. First, the fine-tuning process is often limited to small datasets, causing the model to become too specialized and miss the wide range of […]
The post Google DeepMind Introduces WARP: A Novel Reinforcement Learning from Human Feedback RLHF Method to Align LLMs and Optimize the KL-Reward Pareto Front of Solutions appeared first on MarkTechPost.
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