AI Beginner Tutorial
AI (Artificial Intelligence) is a technology that enables computers to understand, learn, reason, generate content, and perform tasks.
AI (Artificial Intelligence) is no longer the mechanical execution of fixed programs, but an intelligent technology that can learn from data, make autonomous judgments, and adapt to different scenarios.
In the past, software relied on fixed rules to run, while AI is more like a new computing paradigm that can learn patterns from data and autonomously accomplish goals.
Today's AI is no longer just a chatbot; it can already: write articles, write code, generate images, analyze data, create PPTs, and more.
Who is this tutorial for?
- People new to AI
- People who want to improve work efficiency
- People who want to enter the AI industry
- People who want to understand concepts such as ChatGPT, large models, and Agents
- Programmers, designers, operations staff, students, and general office workers
No mathematical background is required, and no programming skills are required.
What can AI do?
AI (Artificial Intelligence) essentially simulates part of human intelligence capabilities.
- Perceiving information: understanding text, images, audio, video, and other types of data
- Understanding semantics: grasping human natural language, needs, scenarios, and implicit logic
- Autonomous learning: continuously optimizing capabilities through training on massive data, becoming more precise with use
- Reasoning and decision-making: analyzing based on available information, judging, and providing optimal solutions
- Implementation: assisting or autonomously completing tasks such as creation, office work, analysis, and development
An intuitive analogy: - Traditional software = calculator: it can only calculate according to fixed rules, without flexibility or thinking
- AI = a smart intern: it can learn new knowledge, understand requirements, work independently, and keep improving
These abilities, originally belonging to humans, are now being acquired by computers. We can try using AI tools -- Doubao , ask it how to learn AI:
AI Core Fundamentals
- Data (foundation): AI's knowledge base — massive text, images, video, and behavioral data — is the raw material for AI learning.
- Algorithms (rules): AI's "learning methods" — mathematical rules that enable machines to summarize patterns and extract logic from data.
- Model (carrier): The finished product after training, an intelligent agent that can be used directly (e.g., GPT-4, Claude 3, Tongyi Qianwen)
- Inference (capability): After the model is deployed, the process of receiving user instructions, combining learned knowledge to output results and complete tasks
AI Categories
Based on function and scenario, AI is mainly divided into 5 major categories, covering 99% of ordinary people's usage scenarios:
Based on function and application scenarios, AI can be mainly divided into 5 major categories, basically covering the usage needs of 99% of ordinary people
| AI Type | Core Capability | Typical Scenarios | Representative Tools |
|---|---|---|---|
|
Language AI (NLP) Most commonly used |
Understand, generate, and process textual language content | Intelligent conversation Copywriting Paper rewriting Code writing Translation Summary and review Q&A consultation Office document processing |
ChatGPT Claude Qwen Doubao |
| Visual AI (CV) | Understand image and video content, perform visual analysis and generation | Face recognition Image retouching AI drawing Video editing Image recognition Industrial defect detection ID photo generation |
Midjourney Stable Diffusion Meitu AI CapCut AI |
| Voice AI | Achieve conversion and interaction between speech and text | Speech-to-text Real-time subtitles Intelligent dubbing Speech translation Smart speaker interaction |
iFlytek Hearing CapCut subtitles Mobile voice assistant |
|
Multimodal AI Mainstream trend |
Simultaneously supports multiple inputs and outputs such as text, images, voice, and video | Image-based questioning Image-text creation Video understanding Multi-format content generation Comprehensive question answering |
GPT-4V Doubao Tongyi Qianwen Miaoda |
| Automation AI (AI Agent) | Automatically execute tasks and connect tools to achieve goals | File organization Data analysis Automatic PPT generation Report statistics Batch file processing Workflow automation |
QoderWork Dazi n8n |