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An important goal in artificial intelligence is to create agents that can both interact naturally with humans and learn from their feedback.
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Synthetic data for deep learning , volume 174
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Grandmaster level in starcraft ii using multi-agent reinforcement learning
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Language models are few-shot learners
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An image is worth 16x16 words: Transformers for image recognition at scale
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Training a helpful and harmless assistant with reinforcement learning from human feedback
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Improving alignment of dialogue agents via targeted human judgements
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Training language models to follow instructions with human feedback
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Lamda: Language models for dialog applications
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