In this episode, we dive into the fascinating world of AI alignment—the techniques used to make AI systems not only powerful but safe and trustworthy. We’ll explore how methods like Reinforcement Learning from Human Feedback (RLHF) and content filtering help align AI models with human values and ethics, allowing them to assist us in everything from customer support to learning new skills. But with powerful open-source models also comes the risk of misuse, especially when they lack alignment.

Join me as we uncover both the positive impact of aligned models and the challenges posed by unfiltered, unaligned models. It’s a balanced look at how we can harness AI’s potential responsibly in an ever-evolving technological landscape.

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