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An AI company is training a language model to be a helpful and harmless assistant. When the model generates a response to a user prompt, a separate, pre-trained 'preference model' scores the response based on its helpfulness and harmlessness. This score is then used to update the language model's parameters. In this training setup, which component best represents the 'environment' for the language model agent?
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Ch.4 Alignment - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Application in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
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An AI company is training a language model to be a helpful and harmless assistant. When the model generates a response to a user prompt, a separate, pre-trained 'preference model' scores the response based on its helpfulness and harmlessness. This score is then used to update the language model's parameters. In this training setup, which component best represents the 'environment' for the language model agent?
Contrasting Environments in Learning Systems
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