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Update pages/Intro_DS.py
Browse files- pages/Intro_DS.py +1 -2
pages/Intro_DS.py
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@@ -101,8 +101,7 @@ st.markdown("3.Autoregressive Models")
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st.markdown("4.Transformers ")
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st.markdown("<h3 style='text-align: left; color: Black;'>Examples of GenAI </h3>", unsafe_allow_html=True)
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st.markdown("<p style='font-size: 16px; color: Blue; font-style: italic;'>"
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"Deepfake (Video Generation):How It Works: GANs are often used to generate deepfakes, which are synthetic media (mainly videos) in which a person's image is transformed to make it look as if they are talking or doing something they never did. These algorithms learn from real-world footage to produce believable changes.
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Real-World Applications: Deepfakes have been utilised for amusement (e.g., movies, impersonations), but they also raise questions regarding misrepresentation."
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"</p>", unsafe_allow_html=True)
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st.markdown("4.Transformers ")
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st.markdown("<h3 style='text-align: left; color: Black;'>Examples of GenAI </h3>", unsafe_allow_html=True)
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st.markdown("<p style='font-size: 16px; color: Blue; font-style: italic;'>"
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"Deepfake (Video Generation):How It Works: GANs are often used to generate deepfakes, which are synthetic media (mainly videos) in which a person's image is transformed to make it look as if they are talking or doing something they never did. These algorithms learn from real-world footage to produce believable changes.Real-World Applications: Deepfakes have been utilised for amusement (e.g., movies, impersonations), but they also raise questions regarding misrepresentation."
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"</p>", unsafe_allow_html=True)
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