The moment we stopped understanding AI [AlexNet] [video]
The video discusses high-dimensional embedding spaces in AI models like AlexNet and Chat GPT. It explains AlexNet's convolutional blocks for image analysis and Chat GPT's transformer use for responses, emphasizing AI model evolution and challenges in visualizing activations.
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The YouTube video delves into the advancement of high-dimensional embedding spaces within contemporary AI models, notably highlighting AlexNet and Chat GPT. It elucidates AlexNet's employment of convolutional blocks for image analysis and Chat GPT's utilization of transformers to produce responses. The discussion underscores AlexNet's significance in AI model evolution and the complexities linked to visualizing activations in the model's second layer. The video accentuates AI models' capacity to grasp intricate tasks via thorough data training, showcasing their ability to tackle sophisticated challenges.
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1 commentsThe historical recap provided a nice perspective on the how we progressed
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