Generative AI is everywhere in our lives now. Tools like OpenAI ChatGPT, Antropic Claude, Perplexity, Gemini, Sora, Midjourney and others allow people to become much more productive. However, there is always a risk, for society, for your job and, of course, for yourself. Understanding how something works equips with better to know how to responsibly use it and to be ready to what comes next.
In this episode, Igor Alcantara and Angelika Klidas take you behind the scenes of generative AI, from the GANs and transformers that started it all to the diffusion models crafting images step by step. Join us as they share real-world stories. A hospital turning patient notes into poetry and a deepfake that nearly derailed a product launch, let's break down why prompt literacy is now a must-have skill for data pros, and explain how human oversight keeps AI honest.
In the Data Stories segment, we bring you a paper with a new approach to handle unbalanced datasets for Machine Learning using Neural Networks.
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Links Mentioned
You can buy Angelika Klidas book at: https://www.amazon.com/Data-Literacy-Practice-decisions-intelligent/dp/1803246758
Today's Data Story: https://www.sciencedirect.com/science/article/pii/S1110016824012523?via%3Dihub
Sponsorship This episode is sponsored by IPC Global: https://ipc-global.com/
Credits: Igor Alcantara: https://www.linkedin.com/in/igoralcantara/ Angelika Kildas: https://www.linkedin.com/in/angelikaklidas/
Audio Editing: Leo Oliveira: https://www.instagram.com/leooliveirabass/
Image and Production: Igor Alcantara: https://www.linkedin.com/in/igoralcantara/
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