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Demystifying AI: How Neural Networks Like Transformers Really Work

About this episode

Today’s feature interview is with Gordon Cooper, Product Manager for AI and neural network processor IP at Synopsys. We cover the differences between Generative AI and object detection AI, as well as compared Generative AI to embedded AI. We’ll discuss ChatGPT, a transformer AI model, and explain its ability to identify patterns within large datasets. We will also discuss the challenges of implementing transformers in embedded spaces, along with the different areas where AI is being implemented in volume applications

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Demystifying AI: How Neural Networks Like Transformers Really Work

EE Times Current

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