Generative AI — Complete Guide
A deep dive into how each GenAI domain works — text, code, image, audio, and tools. Use this alongside the roadmap or as a standalone reference.
Start with the Overview tab, then explore the domain most relevant to what you're building.
What is Generative AI?
Generative AI refers to models that create new content — text, images, audio, video, code — rather than just classifying or predicting from existing data. The key breakthrough: instead of hard-coding rules, these models learn the underlying distribution of human-created content and sample from it.
🔮 Where It's All Going
All four domains are converging. GPT-4o processes text, image, and audio in one model. Gemini 1.5 is natively multimodal. The future is a single model that sees, hears, speaks, reads, and writes — and the components you learn today are the building blocks of that future.
The Common Thread Across All Domains
Show the model millions of examples of human-created content. It learns the patterns.
All domains compress content into a mathematical space of meaning. Generation = sampling from this space.
Guide generation toward what you want — via text prompt, reference image, style embedding, etc.
Generation is probabilistic — outputs are sampled from a learned distribution, not looked up. This is why it's creative.