Mastering Generative AI: GANs, Transformers, and Ethical Implications
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In this thrilling journey through the world of generative AI by Simplilearn, we uncover the cutting-edge technology that allows machines to create new content, not just analyze existing data like traditional AI. It's like giving a computer the keys to the creative kingdom, enabling it to generate text, images, music, and videos by learning from massive datasets. This isn't your run-of-the-mill AI; this is the future of innovation, folks.
At the heart of generative AI lie GANs and Transformers, the dynamic duo revolutionizing the artificial intelligence landscape. GANs, with their generator and discriminator setup, engage in a fierce battle to produce realistic content, while Transformers, armed with attention mechanisms, excel in tasks like text generation. It's a showdown of epic proportions, where machines learn to create content that's as real as the air we breathe.
But with great power comes great responsibility, as generative AI raises ethical red flags faster than a speeding bullet. From the potential misuse in creating deep fakes to perpetuating biases present in the training data, there's a dark side to this technological marvel. As we hurtle towards a future where AI-generated content becomes the norm, questions of job displacement and ethical considerations loom large on the horizon. So buckle up, ladies and gentlemen, as we navigate this thrilling, yet treacherous, landscape of generative AI.
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
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Links to Applied Generative AI Specialization courses
Professional Certificate Program in Generative AI and Machine Learning available in India only
Advanced Executive Program In Applied Generative AI
Viewers can ask questions in the comment section for expert answers
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