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Google's AI emergency, Apple's lowkey AI moves, amazing Sora demos & more with Sunny Madra | E1904
This Week in Startups
Factors Impacting Model Response
There are three main factors that can impact how a model responds. Firstly, the training data plays a significant role in shaping the model's responses based on what it is trained on. Secondly, reinforcement learning with human feedback enhances the model's accuracy by providing it with sets of expected questions and answers to learn from. Lastly, guardrails act as a vital layer of software that prevents the model from making erroneous responses by setting boundaries and restrictions on the type of information it can generate.
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