You’ll learn how it solves problems with subjectivity and objectivity through ranked human preference at scale before diving into how it works. Dive deep into original GPT, labelling from humans, reward models, and how to leverage reward model signal to update a new GPT model.
You’ll then learn how to do this with SageMaker GroundTruth before going hands-on with RLHF on SageMaker using this workshop: https://go.aws/3rAB2Of
Learn more about generative AI on AWS: https://go.aws/3rw39hF
Tune in to Build On Generative AI with host Emily Webber on twitch.tv/aws for even more tips and tricks: https://m.twitch.tv/videos/1723458659
Access the slides from this lesson to follow along: https://github.com/aws-samples/sagemaker-distributed-training-workshop/blob/main/slides/Generative%20AI%20Foundations%20Technical%20Deep%20Dive/1%20-%20Intro%20to%20FMs.pdf.zip
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