Generative AI Tutorials for Beginners
Generative AI is a type of artificial intelligence that can create new content such as text, images, music, videos, etc. Unlike traditional AI systems that analyze or classify data, generative AI models generate new data similar to what they have been trained on. This revolutionary branch of AI is being used in applications like ChatGPT, DALL·E, and music or code generation tools. These tutorials are designed for absolute beginners and will help you understand the core concepts and how to build and experiment with Generative AI tools from scratch.
Understanding Artificial Intelligence
- What is AI?
- Types of AI: Narrow, General, and Super AI
- How AI differs from Human Intelligence
Introduction to Generative AI
Machine Learning and Deep Learning
- Supervised Learning
- Unsupervised Learning
- What is Deep Learning?
- Neural Networks and How They Work
Foundation Models in Generative AI
- What are Foundation Models?
- Introduction to Transformers
- Popular Models: GPT, BERT, DALL·E, Stable Diffusion
Natural Language Processing (NLP)
- Basics of NLP
- Text Tokenization and Embeddings
- How Generative AI creates human-like text
Text Generation Tools
- Using ChatGPT for Content Creation
- Generating Summaries, Emails, and Scripts
- Fine-tuning Language Models (Basic Concepts)
Image Generation with AI
- Using Tools like DALL·E and Stable Diffusion
- Generating Images from Text Prompts
- Controlling and Editing AI-generated Images
Audio and Music Generation
- AI Tools for Generating Music and Voice
- Overview of Text-to-Speech and Voice Cloning
- Creative Applications of AI in Audio
Code Generation with Generative AI
Ethical Considerations and Limitations
- Bias in AI-generated Content
- Plagiarism and Intellectual Property Issues
- Responsible Use of Generative AI
Building Your First Generative AI Application