Personalize your generative AI applications with Amazon SageMaker Feature Store | Amazon Web Services

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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On their own, large language models (LLMs) are, to a significant extent, Babel-like. Their latent space can output every possible combination of words. They are capable of creating genius-level sentences—and also false gibberish. And at this point in the lifecycle of this technology, the quality of the results you’re going to get is far higher when

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In his April 2015 letter to shareholders, Amazon founder/CEO Jeff Bezos listed the four requirements for a “dreamy business”: “Customers love it, it can grow to very large size, it has strong returns on capital, and it’s durable in time—with the potential to endure for decades.” We want Prime to be such a good value, you'd be irresponsible not to b

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