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# AI Beginner Course — Main Domains
Introductory overview of the major AI domains for complete beginners.
## The 10 Main AI Domains
### 1. Text AI
Large Language Models (LLMs), chatbots, writing assistants, code generation.
Examples: ChatGPT, Claude, Gemini, code completion tools.
### 2. Image AI
Image generation, editing, and visual understanding.
Examples: DALL-E, Stable Diffusion, Midjourney, CLIP, SAM (segmentation).
### 3. Video AI
Video generation, editing, and understanding.
Examples: Sora, Runway, Pika, Kling.
### 4. Audio AI
Speech synthesis (TTS), speech recognition (STT), music generation.
Examples: Whisper (STT), Suno/MusicGen (music), ElevenLabs (voice).
### 5. 3D AI
3D scene generation, neural rendering, robot vision.
Examples: NeRF, Gaussian splatting, Tripo3D.
### 6. Reasoning / Agentic AI
AI that plans, uses tools, and autonomously completes multi-step tasks.
Examples: AI agents that browse the web, write code, book travel.
**Current frontier** — getting AI to actually *DO* things vs just generate content.
### 7. Speech / Conversation AI
Real-time voice assistants, two-way voice conversation, voice cloning.
Examples: Live voice chat, phone assistants.
### 8. Multimodal AI
Models that combine text + image + audio + video simultaneously.
Examples: GPT-4V, Gemini, LLaVA — understand images and respond, see-and-talk models.
### 9. Scientific AI
AI for scientific discovery — protein folding, drug design, materials science.
Examples: AlphaFold (proteins), GNoME (materials), weather prediction.
### 10. Robotics AI
AI for physical world interaction — locomotion, manipulation, autonomous machines.
Examples: Robot dogs, humanoid robots, self-driving.
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## Key Takeaway for Beginners
The biggest current trend: **AI agents** — AI that doesn't just generate content but actually performs tasks end-to-end (browses, clicks, types, makes decisions). This is where most of the development momentum is right now.