Creative Data Generation
Tim questions the creativity of data generation through GANs, emphasizing the need for truly creative processes in intelligence. Minqi highlights the importance of human feedback in filtering generated data, challenging the notion of language models creating new information independently.In this clip
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Machine Learning Street Talk (MLST)
#114 - Secrets of Deep Reinforcement Learning (Minqi Jiang)
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