S1E3 - Demystifying #How #GenerativeAI Works | GenAI360Express

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S1E3 - Demystifying How Generative AI Works

• 🧠 Learning from Examples: Generative AI learns from thousands, millions, even trillions of examples to generate new solutions, much like how our brains discern objects based on past experiences.
• 🛠️ Key Techniques - GANs and VAEs: Generative AI utilizes techniques like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). GANs consist of a generator and a discriminator, while VAEs learn the underlying distribution of input data to generate new samples.
• 🌐 Leading Innovators: Companies like Open AI, NVIDIA, Google, Meta, and universities such as UC Berkeley and LMU Munich are leading the way in developing these complex models, some keeping them private and others making them open source.
• 💼 Business and Creative Use Cases: Business leaders can envision new products and direct projects using AI models, while creative individuals can browse repositories like GitHub and use AI notebooks like Google Colab to run pre-made models. Even those without technical backgrounds can benefit from generative AI through services like OpenAI's ChatGPT and DALL-E or mobile apps like Lensa AI and Avatar Maker.
• 🎨 Endless Possibilities: Generative AI offers endless possibilities for creativity and innovation, allowing users to create their own content and embark on journeys of exploration and discovery.

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