OpenAI Researchers Propose ‘Deliberative Alignment’: A Training Approach that Teaches LLMs to Explicitly Reason through Safety Specifications before Producing an Answer
The widespread use of large-scale language models (LLMs) in safety-critical areas has brought forward a crucial challenge: how to ensure their adherence to clear ethical and safety guidelines. Existing alignment techniques, such as supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF), have limitations. Models can still produce harmful content when manipulated, refuse legitimate […]
The post OpenAI Researchers Propose ‘Deliberative Alignment’: A Training Approach that Teaches LLMs to Explicitly Reason through Safety Specifications before Producing an Answer appeared first on MarkTechPost.
Summary
The article discusses a new training approach called “Deliberative Alignment” proposed by OpenAI researchers to address the challenge of ensuring large-scale language models (LLMs) adhere to ethical and safety guidelines in safety-critical areas. Existing alignment techniques like supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF) have limitations, as models can still produce harmful content. The new approach aims to teach LLMs to explicitly reason through safety specifications before providing an answer.
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