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OpenAI's InstructGPT - Blog | Scale Events
In this article you'll learn: - How Long Ouyang and his team at OpenAI trained InstructGPT to follow human instructions - How fine-tuning with reinforcement learning from human feedback can produce better results with less data at a lower cost - How alignment can unleash untapped potential in existing models
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OpenAI's InstructGPT - Blog | Scale Events
In this article you'll learn: - How Long Ouyang and his team at OpenAI trained InstructGPT to follow human instructions - How fine-tuning with reinforcement learning from human feedback can produce better results with less data at a lower cost - How alignment can unleash untapped potential in existing models
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OpenAI's InstructGPT - Blog | Scale Events
In this article you'll learn: - How Long Ouyang and his team at OpenAI trained InstructGPT to follow human instructions - How fine-tuning with reinforcement learning from human feedback can produce better results with less data at a lower cost - How alignment can unleash untapped potential in existing models
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- descriptionIn this article you'll learn: - How Long Ouyang and his team at OpenAI trained InstructGPT to follow human instructions - How fine-tuning with reinforcement learning from human feedback can produce better results with less data at a lower cost - How alignment can unleash untapped potential in existing models
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- titleOpenAI's InstructGPT - Blog | Scale Events
- descriptionIn this article you'll learn: - How Long Ouyang and his team at OpenAI trained InstructGPT to follow human instructions - How fine-tuning with reinforcement learning from human feedback can produce better results with less data at a lower cost - How alignment can unleash untapped potential in existing models
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- twitter:descriptionIn this article you'll learn: - How Long Ouyang and his team at OpenAI trained InstructGPT to follow human instructions - How fine-tuning with reinforcement learning from human feedback can produce better results with less data at a lower cost - How alignment can unleash untapped potential in existing models
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