Generative AI - Course Details
Explore Generative AI: text generation, image creation, and multimodal models. Learn about ChatGPT, DALL-E, and building generative applications.
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What you'll learn?
- Large Language Models (LLMs)
- Text generation and prompting
- Image generation models
- Multimodal AI
- Ethics and responsible AI
Requirements
- NLP or Deep Learning basics
- Python programming
- Introduction to generative models
- Applications in image synthesis, text generation, music, and video
- Overview of generative modeling techniques
- Variational Auto-encoders (VAE) basics
- Generative Adversarial Networks (GANs)
- Diffusion models and their concepts
- Architecture: Generator vs Discriminator
- Training techniques and challenges (mode collapse, stability)
- Types of GANs: DCGAN, Conditional GAN
- Concept of forward and reverse diffusion processes
- Image synthesis using diffusion
- Comparison with GANs
- Overview of transformer architecture
- Generative transformers for text (GPT, BERT variants)
- Applications in text and image generation
- Understanding prompt design and influence
- Techniques for improving model outputs
- Hands-on practice with prompt tuning
- GAN model implementation for image generation
- Text generation using transformer models
- Image generation using GANs and/or diffusion models
- Prompt engineering practice with LLMs
- End-to-end generative AI project
- Combining models, training, and fine-tuning for a practical application
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