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- Generative AI Tutorial
- Generative AI - Home
- Generative AI Basics
- Generative AI Basics
- Generative AI Evolution
- ML and Generative AI
- Generative AI Models
- Discriminative vs Generative Models
- Types of Generative AI Models
- Probability Distribution
- Probability Density Functions
- Maximum Likelihood Estimation
- Generative Adversarial Networks
- How GANs Work?
- GAN - Architecture
- Conditional GANs
- StyleGAN and CycleGAN
- Training a GAN
- GAN Applications
- Transformers in Generative AI
- Architecture of Transformers in Generative AI
- Input Embeddings in Transformers
- Generative AI Resources
- Generative AI - Useful Resources
- Generative AI - Discussion
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Generative AI is a type of artificial intelligence technology that generates new text, audio, video, or any other type of content by using algorithms like Generative Adversarial Networks or Variational Auto Encoders (VAEs). It learns patterns from existing training data and produces new and unique output that resembles real-world data.
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