Tag: Supervised Fine-Tuning
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Bridging the Gap: Reinforcement Learning from Human Feedback
Large language models (LLMs) are incredibly powerful, capable of generating coherent and creative text. Yet, left to their own devices, they can sometimes produce undesirable outputs such as factual inaccuracies, harmful content, or just unhelpful responses. The crucial challenge is alignment: making these powerful AIs behave in a way that is helpful, harmless, and honest.…