Generative AI Explained: How AI Turns Noise Into Images, Voice & Video | AI Explained #14

Generative AI Explained: Images, Audio & Video – episode 14 of AI Concepts Explained, a free beginner-friendly artificial intelligence and machine learning course by Irfan Hayat. How does generative AI create images, voices and video? Irfan Hayat explains generative vs discriminative models, diffusion models, text conditioning, audio and video generation, plus responsible use and labelling, with animated diagrams and a Python noise demo. What you'll learn • Generative vs discriminative models • How diffusion models turn noise into images • Text conditioning with embeddings • Audio and video generation basics • Responsible use: consent, labels and copyright Chapters 00:00 Intro 00:57 Generative vs discriminative 02:03 Diffusion: from noise to image 03:14 Noise demo in Python 04:19 Guiding with text 05:24 Audio, video and responsible use 06:42 Recap 07:36 Next: AI ethics & safety Altered or synthetic content: The presenter visuals and narration in this video are AI-generated/AI-assisted from the instructor's own photo and an original teaching script. All diagrams, code, and explanations are original. Family-friendly educational content. No music, third-party footage, or logos are used. #GenerativeAI #ArtificialIntelligence #DiffusionModels