<ul><li>Reinforcement Learning (RL) is a self-supervised learning technique that learns through an action versus reward mindset, similar to how a toddler learns to walk.</li><li>RL can be used to teach a machine through exploring game moves and outcomes, and the technique involves distillation in DeepSeek R1 utilizing RL with two players concept.</li><li>Strategies to tackle training and interpretability challenges in DNN and transformer models include self-supervised or hybrid supervised methods along with integrating traditional statistical machine learning techniques.</li><li>Experts disagree with the notion of China surpassing the U.S. in AI capabilities, citing the trend of open-source AI surpassing proprietary models, which democratizes access and reduces risks of an AI arms race.</li></ul>

DeepSeek demystified and lessons learned

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