AI on Air

RLHF for Large Language Model Fine-Tuning


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The provided resource from Amazon Web Services discusses methods for improving large language models.

It specifically highlights the use of reinforcement learning. This approach involves using feedback, which can be provided by either humans or artificial intelligence.

The aim of this process is to fine-tune these models, enhancing their performance and alignment with desired outputs. This allows for the creation of more refined and effective language processing sys

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AI on AirBy Michael Iversen