SteerLM leverages a supervised fine-tuning method that empowers you to control responses during inference. It overcomes the limitations of prior alignment techniques, and consists of four key steps:

1. Train an attribute prediction model on human-annotated datasets to evaluate response quality on any number of attributes like helpfulness, humor, and cr

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